Alternatives to AVIS

RouterBase serves as a comprehensive API gateway, allowing developers and teams to utilize over 200 AI models, including well-known options like GPT, Claude, Gemini, Llama, Mistral, and DeepSeek, all through one OpenAI-compatible endpoint. This eliminates the need for managing different keys and billing systems for each model, as switching between them is as simple as changing a single configuration line. Additionally, RouterBase enhances functionality with intelligent routing, built-in failover capabilities across various providers, and consolidated billing, ensuring that your application remains operational even in the event of an upstream provider failure. Moreover, a free tier is offered with no requirement for a credit card, making it accessible for users to explore the service. With RouterBase, developers can streamline their workflow and focus on building innovative applications without the hassle of juggling multiple integrations.

Token360 serves as a comprehensive AI gateway for enterprises, featuring a singular OpenAI-compatible API that grants access to over 80 cutting-edge AI models for generating text, images, audio, and video, such as Seedance 2.5, Seedream 5.0 Pro, Kling, Veo 3.1, Claude, GPT, and Gemini. Teams can seamlessly integrate the platform once and switch between models simply by adjusting parameters; the intelligent routing system with automatic provider fallback ensures uninterrupted request flow even if an upstream provider experiences issues. The pricing model is based on a pay-as-you-go structure, adhering to the published per-model rates. Token360 proudly partners with ByteDance for the Seedance video generation model. Common applications encompass enhancing existing products with video or image generation capabilities, side-by-side evaluation of language models, and streamlining billing and quota management across various AI providers. Additionally, the platform offers an interactive playground and comprehensive developer documentation, enabling teams to make their inaugural API call in just a few minutes, facilitating a smooth onboarding experience. This assistance fosters innovation and efficiency within organizations leveraging AI technology.

SeedRouter serves as an API platform that allows users to access a variety of AI models for images, videos, language, and audio through a single API key and prepaid balance. It offers endpoints that are compatible with OpenAI for language models, as well as asynchronous task APIs specifically designed for media generation. Developers can conveniently oversee key management, track the status of their requests, and analyze usage and costs at the model level via an intuitive dashboard. Tailored for both developers and product teams, SeedRouter facilitates the integration of diverse AI model families into various applications, streamlining the development process significantly. This makes it an essential tool for those looking to enhance their applications with advanced AI capabilities.

TokenRa serves as a cloud-based AI API gateway tailored for developers seeking to utilize text, reasoning, image, video, and audio models all through a single account and API key. The text models are designed to accommodate OpenAI-style requests, while image and video models are accessed via specific endpoints. Developers are provided with resources such as model documentation, integration options with supported SDKs and tools, as well as a console to track usage and billing details. The platform features an array of models from various providers, including DeepSeek, Moonshot AI, Zhipu AI, Alibaba Qwen, MiniMax, ByteDance, and OpenAI. Billing operates on a pay-as-you-go basis with no mandatory platform subscription fees; however, the rates and billing units differ depending on the model and channel utilized. Users need to make a minimum top-up of $10, and certain models offer free usage options. TokenRa is crafted for developers and collaborative teams that are creating applications requiring a unified interface to assess or interact with multiple AI models effectively. This makes it an excellent solution for those looking to streamline their AI integration processes.

Abliteration.ai serves as an AI platform tailored for developers, granting access to large language models without constraints, all while incorporating a governance layer that empowers teams to dictate model behavior instead of depending on preset limitations from providers. The platform features an API compatible with OpenAI, promoting effortless integration into current tools, SDKs, and processes without necessitating significant infrastructure modifications. Central to Abliteration.ai’s philosophy is the idea of being “unrestricted, not ungoverned,” which allows developers to leverage models with fewer censorships while implementing their own regulatory measures through a Policy Gateway that manages outputs in real-time, enabling actions like allowing, blocking, redacting, or escalating based on tailored policies. These policies are designed as code, facilitating auditing, simulation, and deployment, complemented by capabilities such as shadow testing and rollback measures for added security. Furthermore, Abliteration.ai caters to sophisticated applications, including security assessments, red teaming, synthetic data generation, and research workflows tailored to specific needs, thereby expanding the potential for innovative solutions in various fields. With its comprehensive approach, Abliteration.ai not only enhances the flexibility of AI usage but also ensures that developers maintain control over the ethical implications of their models.

Modellix serves as a comprehensive API platform that consolidates top generative models from around the globe, such as Google Veo 3.1, GPT Image, Grok Imagine, Seedream 5.0, Seedance 2.0, Kling V3, Wan 2.7, Hailuo 2.3, Vidu Q3, PixVerse V6, among others, all accessible through a single API key and billing interface. This platform enables developers to integrate once and utilize a wide range of models without the hassle of managing multiple vendors. Additionally, creators can experiment with these models directly in the browser-based Playground without needing any coding skills. The API key also grants users access to the Modellix LLM gateway, offering compatibility with language models from OpenAI, Anthropic, Google, DeepSeek, Qwen, Moonshot, xAI, and ZAI. With robust backing from Aurora Mobile (NASDAQ: JG) and certifications such as SOC 2 Type 2, ISO 27001, and ISO 27701, Modellix benefits from over 15 years of expertise in developer infrastructure. This unique integration not only simplifies the process for developers but also empowers creators to unleash their creativity effortlessly.

Peezy Gateway serves as an AI inference gateway designed to provide developers and coding agents with a singular endpoint for accessing cutting-edge open models, eliminating the need for multiple layers of third-party routing. This service is compatible with OpenAI, allowing users to direct existing OpenAI SDKs, command-line agents, and other compatible tools to a unified base URL instead of having to integrate each model provider independently. P0 is in the process of reconstructing the gateway using its own infrastructure, ensuring that open models are delivered directly from its GPU clusters without intermediaries. The anticipated infrastructure will feature B200 and B300 GPU clusters located in private facilities throughout Singapore and China, aiming to establish a quick and direct connection to every model offered. Additionally, the existing p0ag_ API keys and account credits are intended to seamlessly transition during the infrastructure migration, ensuring that current integrations can continue without starting anew when the gateway is relaunched. This not only streamlines the development process but also enhances accessibility for developers in the AI community.

Modelflare serves as a hosted AI API gateway designed for developers who create applications, agents, and workflows that leverage models from various providers, such as GPT, Claude, Gemini, Grok, and DeepSeek. It offers a unified API key and a console that supports OpenAI-compatible chat and responses, Anthropic messages, along with unique interfaces for images and videos specific to each provider. Developers have the flexibility to analyze different models and routing groups, establish primary routes, and define ordered fallback groups, or they can utilize Smart API Keys to strategically choose among the available routes based on their preferred routing methods. Furthermore, API keys can be organized by project, allowing for management through controls like quotas, expiration dates, and restrictions based on model or IP. The service also meticulously tracks usage at the request level, including token counts, routing specifics, and associated costs, with pricing tailored to the chosen model, group, and billing unit. Comprehensive documentation is provided, featuring setup guides for SDKs, coding agents, plugins, and workflow tools, ensuring developers have the necessary resources to maximize their use of the platform. Overall, Modelflare simplifies the integration of multiple AI models into a cohesive environment, enhancing developers' productivity and creativity.

Tokenhot serves as a unified LLM API gateway compatible with OpenAI, allowing developers to effortlessly access over 100 AI models from more than 30 providers via a single endpoint. Reasons for Choosing Tokenhot Seamless Migration: The service is fully aligned with OpenAI SDKs, requiring no code alterations for developers. Extensive Model Variety: With access to a diverse range of models from lightweight Haiku to sophisticated O3 and Claude Opus, users also benefit from exclusive early access to the Seedance 2.0 API. Significant Cost Efficiency: With intelligent routing and aggregated purchasing, Tokenhot optimizes for the best price-performance ratio, resulting in savings of up to 90%. Comprehensive Multi-Modal Capabilities: The platform supports various functions including text, vision, video generation, and TTS, all accessible through a single API. No KYC Requirement, Instant Activation: Users can obtain their API key without any identity verification, enabling them to go live within seconds. Dependable for Enterprises: Tokenhot ensures enterprise-grade reliability through multi-channel redundancy and automatic failover, along with dedicated lines for handling high-concurrency workloads, making it a robust choice for businesses.

Pioneer serves as an inference API designed for developers who prioritize deployment over managing a GPU cluster. This tool allows teams to connect an existing client, such as OpenAI or Anthropic, to Pioneer, enabling them to maintain their API and code while performing inference seamlessly, all while Pioneer identifies areas where the current model may be lacking. It intelligently groups production traffic based on use cases, highlights opportunities for enhancement in accuracy, latency, or cost, and automatically creates and directs requests to specialized models. Through its continuous improvement mechanism known as Adaptive Inference, Pioneer analyzes real-time production failures to extract valuable examples, retrains a tailored model, assesses the updated checkpoint, and implements enhancements without necessitating any redeployment, all while maintaining access through the same endpoint. Additionally, Pioneer accommodates encoder models for tasks that require structured extraction, including named entity recognition, text classification, structured JSON extraction, privacy filtering, and safety classification, as well as decoder models that facilitate text generation, classification, and open-ended prompting. As a result, developers can optimize their workflows and enhance model performance with minimal hassle.

Boldrouter serves as a hosted AI gateway tailored for developers and teams engaged in creating applications utilizing large language models. It offers an OpenAI-compatible API along with a consolidated endpoint that efficiently routes requests among various model providers, intelligently selecting and switching based on criteria such as cost, response time, or provider reliability. Teams have the flexibility to utilize prepaid credits or link their own provider keys, while also having the capability to oversee API keys, set spending limits, and analyze token, model, and latency metrics through an intuitive dashboard. This platform additionally features capabilities like streaming, tool invocation, multimodal requests, embeddings, document text extraction, model consensus and evaluation, and an optional prompt anonymization function that ensures personal data is removed before requests are sent. Supporting a wide range of workflows, the Swiss-hosted service is ideal for applications, SaaS solutions, agents, and developer tools requiring access to diverse AI models. Furthermore, its robust infrastructure promotes seamless integration with existing systems, making it a versatile choice for modern application development.

Kilo Gateway serves as a versatile AI inference conduit, allowing developers to send Large Language Model (LLM) requests to various providers via a single, standardized endpoint, thus granting them access to a multitude of hosted and open models without the need to modify their applications for different services. It offers seamless access to models from well-known providers, including Anthropic, OpenAI, and Mistral, and accommodates bring-your-own-key setups that empower teams to utilize their existing provider credentials within a centralized framework. The gateway is designed to work with standard AI SDKs, enabling developers to switch providers effortlessly while maintaining the same integration surface. By managing routing intricacies and load balancing between direct providers and external gateways, it enhances system availability and resilience. Additionally, the Auto Model feature intelligently directs each request to the most suitable model, ensuring that routing choices, model performance, and usage metrics remain transparent and manageable for users. This not only streamlines the development process but also provides flexibility as the landscape of AI models continues to evolve.

Sudo provides a comprehensive "one API for all models" solution, allowing developers to seamlessly connect various large language models and generative AI tools—covering text, image, and audio—through a single endpoint. The platform efficiently manages the routing between distinct models to enhance performance based on factors such as latency, throughput, and cost, adapting to your chosen metrics. Additionally, it offers versatile billing and monetization strategies, including subscription tiers, usage-based metered billing, or a combination of both. A unique feature includes the ability to integrate in-context AI-native advertisements, enabling the insertion of context-aware ads into AI-generated outputs while maintaining control over their relevance and frequency. The onboarding process is streamlined; users simply generate an API key, install the SDK in either Python or TypeScript, and begin interacting with the AI endpoints immediately. Sudo places a strong emphasis on minimizing latency—claiming optimization for real-time AI—while also ensuring improved throughput compared to some competitors, all while providing a solution that prevents vendor lock-in. This comprehensive approach allows developers to harness the power of multiple AI tools without being hindered by limitations.

ApiGo serves as a centralized AI model gateway tailored for developers and teams engaged in creating applications that leverage language models. It offers a single API endpoint that facilitates sending requests to various model providers, utilizing OpenAI-compatible request formats and a unified interface for model selection. The platform features model routing, fallback configurations, management of API keys, detailed request and usage logs, token pricing for each model, controls for workspace balance, and dashboards for monitoring consumption. Developers have access to comprehensive setup guides that assist in integrating coding assistants and agent tools such as Cursor, Claude Code, Codex CLI, OpenCode, Kimi Code, and OpenClaw. Designed with teams in mind, ApiGo allows for streamlined management of model-provider access, usage tracking, and billing through one convenient hosted gateway, eliminating the need to configure each provider individually. By simplifying these processes, ApiGo empowers teams to focus more on development and less on administrative tasks.

OpenCheese AI serves as a centralized AI gateway and API designed for developers aiming to link various applications and coding tools to a range of AI models via a single service interface. It facilitates compatibility with OpenAI endpoints and offers an Anthropic Messages-compatible interface, featuring functionalities such as model selection, management of API keys, monitoring of usage and balance, and access to AI models from major providers like OpenAI, Anthropic, Google, and DeepSeek. Developers benefit from the ability to set up supported coding clients and applications to route requests through OpenCheese, eliminating the need to handle separate provider credentials for each connection. The platform presents both credit-based usage and time-limited plans that come with included balances, with the availability of models, pricing, and free options varying according to the chosen model and plan. This service is particularly aimed at developers who are in the process of assessing or constructing workflows involving text, coding, and image generation using hosted AI models. Additionally, OpenCheese AI streamlines the integration process, making it simpler for developers to focus on innovation rather than the complexities of managing multiple AI service providers.

Velokey is an AI model access platform that lets developers call text, image, and video models through one reliable API. The platform is designed for teams that want to experiment with, compare, and switch between leading AI models without rebuilding their application integrations. Velokey supports an OpenAI-compatible workflow, so existing SDK users can migrate by updating the base URL, adding a Velokey API key, and choosing a model ID. Developers can access LLMs, image generation models, and video generation models from one account and interface. Supported model families include GPT, Claude, Gemini, DeepSeek, Grok, Kimi, Qwen, MiniMax, GLM, ERNIE, Seedance, Kling, Veo, Wan, PixVerse, GPT Image, Nano Banana, Seedream, and others. Velokey helps teams compare models by capability, context, speed, billing unit, and price before adding them to production workflows. The platform includes smart model routing that can send requests to faster or more stable endpoints when available. Automatic failover helps move failed requests to a healthy fallback route when multiple providers are supported. With one console for request status, token usage, latency, errors, spend, and usage-based metering, Velokey gives developers a simpler way to build across the AI model ecosystem.

RouteMux serves as an AI gateway tailored for developers who are creating applications utilizing models from various providers. It simplifies the integration process by providing a single API key along with consistent endpoints for requests compatible with OpenAI, Anthropic, and Vertex-style interactions, enabling applications to seamlessly connect to a diverse range of AI models through a standardized interface. With RouteMux, developers can efficiently direct requests to different supported models and oversee their usage from one central service, eliminating the need for individual integrations with each provider. The platform operates on a pay-as-you-go pricing model, where developers incur charges based on successful requests in line with the rates established by the respective models and providers. This service is designed for teams that wish to incorporate or transition between different AI models while maintaining a uniform connection architecture for their applications. Additionally, the availability of models, support specifics, and billing protocols may differ depending on the chosen provider and model. As a result, RouteMux enhances flexibility and efficiency in leveraging AI technology for development needs.

OpenCode Zen functions as an AI portal, providing coding agents with a meticulously selected array of dependable and optimized AI models that have been rigorously tested and validated by the OpenCode team. This initiative addresses the inconsistencies arising from the vast assortment of available models, as well as the various configurations and service methods employed by different providers, which can result in fluctuating performance and quality. The team conducts thorough evaluations of a carefully chosen group of models, collaborates with model teams and providers to establish optimal operational parameters, ensures accurate service delivery, and benchmarks each model-provider pairing prior to making recommendations. Users engage with Zen in the same manner as other providers within OpenCode, utilizing an API key to access a direct interface that displays the suggested model selections. Additionally, its usage is entirely voluntary, allowing developers the flexibility to integrate it with other coding agents, thereby preventing vendor lock-in while still enabling access to validated model configurations. Ultimately, OpenCode Zen empowers developers by streamlining their AI model selection process while ensuring consistent quality and performance across various coding tasks.

Septor Labs offers a hosted AI gateway and model routing solution designed for developers who are creating AI agents, copilots, and applications powered by language models. It features a unified API that allows for the routing of requests to various supported models based on priority, weight, active connections, or latency considerations. Users have the option to choose a specific model or enable automatic selection, activate semantic caching, and set up API keys with distinct credit limits and optional IP whitelisting. The platform accommodates both OpenAI-style and Anthropic-style request formats, enabling compatible clients to access the service through a common gateway. Additionally, a web console is available for managing models and monitoring usage, while a prepaid credit system facilitates a pay-as-you-go billing approach. Overall, Septor Labs is tailored for developers and teams looking to seamlessly integrate advanced language model functionalities into their agents, copilots, and various software solutions, enhancing their capabilities and efficiency. With these features, the platform ensures that users can optimize their AI development processes effectively.

Tikway serves as a centralized AI model gateway and API designed for developers who are creating applications that incorporate various model providers. It offers a streamlined API key and is compatible with request formats from OpenAI, Anthropic, and Gemini protocols, enabling users to access the models listed via Tikway. Developers have the option to explore the model catalog, which allows them to evaluate different models based on pricing, features, and supported parameters, while also providing access to online documentation for guidance on setup and sample requests. The billing structure is based on usage, with fees differing according to the chosen model and its application. Targeted at independent developers, creators, and teams looking to integrate generative AI into their projects, Tikway ensures that users can find the right tools for their needs. Additionally, developers can review the catalog to understand the distinct availability, features, and parameters associated with each model before making their selection. This flexibility allows for a tailored approach to AI integration, enhancing the overall development experience.

Factory Router is an automated model-selection system tailored for autonomous software engineering workflows, aiming to achieve top-tier performance while minimizing costs and enhancing reliability. Rather than relying on engineers to manually identify the optimal model for each task, Factory Router intelligently selects the appropriate model for each Droid session from a varied collection of advanced and efficient models. Routine tasks such as answering simple queries, executing mechanical refactors, making documentation updates, addressing minor bugs, and conducting search-intensive investigations can be efficiently managed by the more streamlined models, whereas complex assignments that require in-depth reasoning can be assigned to the cutting-edge models. Should the chosen model encounter difficulties in completing a task, Factory Router has the capability to transition the session to a more proficient model, ensuring a consistent standard of quality in outcomes. Additionally, it adeptly navigates across different models, providers, and resource capacities whenever issues arise, such as endpoint degradation, rate limits being reached, or limited capacity, thus ensuring uninterrupted operation of Droid sessions. This innovative approach not only enhances productivity but also significantly reduces the burden on engineers, allowing them to focus on more strategic initiatives.

OwlVigil serves as a cloud-centric AI gateway and governance solution tailored for developers, AI product teams, and organizations managing various model providers. It facilitates the routing of AI requests via a consolidated endpoint, enabling teams to link providers, create scoped gateway keys, oversee access, and implement routing and policy rules. Administrators have the capability to define budgets for workspaces, teams, members, or keys; limit access to specific models and providers; and keep track of requests, tokens, usage, latency, and expenditures. With features like role-based permissions, audit logs, alerts, and request analytics, teams can effectively assess AI operations across different workspaces and departments. The platform supports OpenAI-compatible requests, which permits teams to integrate existing applications through a common interface seamlessly. OwlVigil is available as a hosted service that includes an individual free plan, alongside paid plans for teams and businesses, as well as customized options for enterprises seeking tailored solutions. This flexibility ensures that users can select the plan that best fits their specific needs and scales appropriately with their operations.

Plano is a delivery infrastructure solution built specifically for AI agents and agentic applications that require reliability, scalability, and operational visibility. Acting as an AI-native proxy and data plane, the platform manages the underlying infrastructure needed to route requests, orchestrate agents, enforce policies, and monitor interactions. Developers can integrate multiple AI models and model versions through a unified interface without creating custom routing systems for each provider. The platform includes built-in capabilities for observability, guardrail enforcement, context engineering, and intelligent model selection to improve application performance. Teams can use Plano alongside their preferred frameworks, tools, and programming languages while maintaining a consistent infrastructure layer. Rich tracing features provide detailed visibility into agent workflows, helping product and engineering teams identify errors and optimize outcomes. Centralized security controls simplify governance and ensure consistent policy enforcement across AI applications. Support for on-premises deployments also makes the platform suitable for organizations with strict compliance and data residency requirements. Plano helps businesses accelerate the journey from prototype to production by reducing the operational burden of managing AI infrastructure.

Experiential serves as a gateway and inference platform powered by AI, designed for developers and organizations engaged in creating AI-driven products or internal solutions. It offers a consolidated API that directs requests to various hosted model providers, accounts supplied by customers, and self-hosted or custom models, including access to OpenAI and Anthropic APIs. Teams are equipped to oversee their API keys, budgets, and usage caps, while also being able to allocate costs to specific keys or agents, track requests, and set up provider routing along with fallback options. The service features both a complimentary plan and subscription-based monthly options, with an open-source version available for self-hosting. For enterprises, additional plans introduce organizational governance and data residency capabilities, and those on paid plans benefit from model optimization tools. Furthermore, enterprise clients have the unique opportunity to commission a model that is specifically trained on their traffic data. Developers can easily link up compatible applications and coding agents by simply adjusting their API endpoints and credentials, thereby enhancing integration flexibility. This comprehensive platform ultimately streamlines the process of implementing AI functionalities within various applications.

APMix serves as an AI API gateway tailored for developers seeking seamless access to various language model providers under a single account, API key, and unified billing structure. It features a diverse catalog of models from different suppliers, with the specific options available being dependent on the chosen plan. The platform supports OpenAI-compatible Chat Completions and Responses endpoints, along with an Anthropic-compatible Messages endpoint, enabling applications and coding agents to connect by simply adjusting the base URL and API key. Users have the ability to generate keys, choose models, monitor their usage, and distribute shared monthly weighted-token allowances across the different models. Comprehensive setup guides are provided for various clients, such as Claude Code, Codex CLI, Cursor, OpenCode, and Kilo Code, along with additional tools and SDKs listed for convenience. APMix is specifically crafted for software developers and teams engaged in developing or managing applications and agent workflows that leverage hosted generative AI models, making it a valuable asset in the growing field of AI-driven software development. The platform aims to simplify integration and enhance efficiency in utilizing cutting-edge language models.

Router acts as a gateway designed to lower inference costs by selecting the most cost-effective model that satisfies performance requirements for each request. It simplifies access for developers by providing a single endpoint and API key, allowing them to utilize a variety of both closed and open-source AI models from numerous providers, including OpenAI, Anthropic, Grok, and Fireworks, thereby eliminating the need to connect to each provider individually. Initially, requests are processed through Router, which enables tracking of usage, model selection, provider information, and associated costs, ensuring that workloads are efficiently directed to alternative options when quality remains intact. With Router Strategies, developers can establish their own cost and performance priorities for different request types or rely on pre-set benchmarks derived from actual production experiences. The system is responsive to real-time conditions such as latency, availability, failures, and rate limits, allowing for the seamless rerouting of eligible requests to other available models when a particular provider is unable to fulfill them. This flexibility enhances the overall efficiency and reliability of the service, ensuring that developers can meet their application demands effectively.

LunaRoute serves as a hosted AI inference gateway and API tailored for developers and teams managing coding agents, personal assistants, applications, and automation tasks. It efficiently directs requests to a select collection of open-weight models via endpoints compatible with OpenAI and Anthropic, complemented by a command-line interface and setup documentation to facilitate the integration of coding tools and agent frameworks. Subscription plans offer enhanced concurrent inference capabilities, overflow management, model accessibility, API keys, usage analytics, and administrative controls based on the chosen package. Additionally, users have the option to utilize a hosted MCP server that enables web search functionalities, document conversion with OCR, as well as image generation and editing features. For enterprises, specialized offerings introduce dedicated deployment solutions, customizable routing options, and policy enforcement capabilities. LunaRoute is designed specifically for software developers and engineering teams looking for a streamlined method to link their existing AI clients to model inference services while ensuring scalable performance. This comprehensive approach allows teams to focus on innovation while relying on LunaRoute for their AI integration needs.

SinoGate serves as a unified API gateway for developers aiming to leverage Chinese large language models via a single, OpenAI-compatible interface. By offering a single API key and endpoint, it allows seamless integration of various models like Qwen, DeepSeek, Kimi, and GLM, enabling existing applications to connect without needing to create separate interfaces for each specific provider. Developers have the flexibility to choose from multiple models to access features such as chat, text generation, and coding support. This service is tailored for international developers and software teams looking to incorporate Chinese LLMs into their projects efficiently. Utilizing cloud-based access and billing in USD through Stripe, the platform ensures a streamlined experience, although the availability and capabilities of supported models may differ. Additionally, SinoGate aims to simplify the development process and broaden the accessibility of advanced language model technology.

GPT Proto offers developers and creators a single platform to access top AI APIs such as GPT, Claude, Gemini, Midjourney, Grok, Suno, and more, eliminating the need to manage multiple accounts or pricing plans. Its pay-as-you-go model provides cost-effective, on-demand access with no monthly fees or hidden charges, ideal for both experimentation and scaling. The platform hosts APIs for a wide range of AI capabilities, from natural language processing and conversation to image generation, music production, and cinematic video creation. GPT Proto’s globally distributed servers ensure low latency and high uptime, keeping applications fast and responsive. Users appreciate the flexibility to test and combine different models easily, enabling innovative multi-modal projects. The platform also includes detailed documentation and support for quick integration. Trusted by solo developers, startups, and enterprises alike, GPT Proto helps teams reduce development time and costs while delivering cutting-edge AI-powered features. It continuously updates with new models and capabilities to keep users at the forefront of AI technology.

FastRouter serves as a comprehensive API gateway designed to facilitate AI applications in accessing a variety of large language, image, and audio models (such as GPT-5, Claude 4 Opus, Gemini 2.5 Pro, and Grok 4) through a streamlined OpenAI-compatible endpoint. Its automatic routing capabilities intelligently select the best model for each request by considering important factors like cost, latency, and output quality, ensuring optimal performance. Additionally, FastRouter is built to handle extensive workloads without any imposed query per second limits, guaranteeing high availability through immediate failover options among different model providers. The platform also incorporates robust cost management and governance functionalities, allowing users to establish budgets, enforce rate limits, and designate model permissions for each API key or project. Real-time analytics are provided, offering insights into token utilization, request frequencies, and spending patterns. Furthermore, the integration process is remarkably straightforward; users simply need to replace their OpenAI base URL with FastRouter’s endpoint while configuring their preferences in the user-friendly dashboard, allowing the routing, optimization, and failover processes to operate seamlessly in the background. This ease of use, combined with powerful features, makes FastRouter an indispensable tool for developers seeking to maximize the efficiency of their AI applications.

BaronRouter serves as an innovative AI gateway and chat platform, consolidating numerous leading AI models and providers into a single, cohesive interface. Within this platform, users have the ability to interact with various models, compare their outputs side by side, save prompts for future use, initiate projects, utilize public personas, upload files, and maintain a comprehensive conversation history all in one location. Designed with a focus on reliability and diversity in model selection, BaronRouter features an intelligent routing system that can identify the most appropriate model for a given task. Additionally, its automatic retry and fallback mechanisms ensure that conversations remain functional even when a provider is experiencing rate limits, downtime, or unexpected failures. The platform also boasts persistent memory, collaborative workspaces, libraries for prompts and personas, insights into model performance, administrative controls, usage analytics, and an OpenAI-compatible public API tailored for developers. For developers, engaging with BaronRouter is seamless through standard OpenAI SDK clients, which includes support for endpoints related to public personas, facilitating persona-based chat completions and enhancing the overall user experience. Overall, BaronRouter not only simplifies access to various AI models but also empowers users and developers alike with its robust features and intuitive design.

OrcaRouter serves as a routing system for AI models that are compatible with OpenAI, efficiently directing prompts to the appropriate models from a wide array, including OpenAI, Anthropic, Gemini, DeepSeek, Qwen, Kimi, and over 200 other leading and open-source models. Its design aims to maintain the high quality of responses while minimizing costs associated with AI inference by evaluating each prompt and directing complex reasoning tasks to premium models while assigning simpler tasks to more economical open-source options. The routing process is meticulously quality-graded, avoiding arbitrary swaps for cheaper models, and every request clearly indicates the difficulty rating, chosen model, provider, and associated costs, ensuring that routes remain transparent, accountable, and reproducible. Developers can easily switch models by updating the API base URL, while previously established SDKs, model names, and streaming functionalities remain operational. Additionally, OrcaRouter features seamless automatic failover capabilities, allowing for traffic rerouting without interruption should a provider experience downtime, thus preventing disruptions for users. It also offers comprehensive API key management that incorporates spending limits, model allowlists, rate restrictions, and budget compliance, among other functionalities, ensuring robust control over resource usage. This combination of features makes OrcaRouter an indispensable tool for optimizing AI model utilization in various applications.

TensorBlock is an innovative open-source AI infrastructure platform aimed at making large language models accessible to everyone through two interrelated components. Its primary product, Forge, serves as a self-hosted API gateway that prioritizes privacy while consolidating connections to various LLM providers into a single endpoint compatible with OpenAI, incorporating features like encrypted key management, adaptive model routing, usage analytics, and cost-efficient orchestration. In tandem with Forge, TensorBlock Studio provides a streamlined, developer-friendly workspace for interacting with multiple LLMs, offering a plugin-based user interface, customizable prompt workflows, real-time chat history, and integrated natural language APIs that facilitate prompt engineering and model evaluations. Designed with a modular and scalable framework, TensorBlock is driven by ideals of transparency, interoperability, and equity, empowering organizations to explore, deploy, and oversee AI agents while maintaining comprehensive control and reducing infrastructure burdens. This dual approach ensures that users can effectively leverage AI capabilities without being hindered by technical complexities or excessive costs.

Vercel AI Gateway is a centralized AI model routing and infrastructure platform designed to help developers build, deploy, and scale AI-powered applications using a single unified interface for multiple AI providers and models. The platform enables developers to access text, image, and video generation models from leading AI labs including OpenAI, Anthropic, xAI, and other providers through one API endpoint, one authentication layer, and one management dashboard. AI Gateway simplifies AI application development by consolidating model routing, usage monitoring, billing, failover management, and observability into a single system, eliminating the need to integrate separately with multiple AI vendors. Developers can use the Vercel AI SDK or OpenAI-compatible APIs to build AI applications with support for streaming responses, stateful agents, multimodal generation, tool calling, and conversational workflows. The platform includes built-in resiliency features such as automatic provider failovers and workload routing to maintain uptime during outages or degraded model performance. AI Gateway also provides unified cost tracking and transparent billing with no markup over provider pricing, helping teams monitor AI usage across applications and providers more effectively. In addition to text generation, the platform supports image generation and editing workflows, as well as production-ready AI video generation capabilities accessible through prompt-based interfaces. Integrated developer tooling, SDKs for multiple programming languages, authentication management, and deployment workflows make Vercel AI Gateway particularly suited for modern web applications, AI agents, SaaS platforms, and developer-focused AI products.

WisGate serves as an all-in-one AI API gateway tailored for developers, creators, and teams seeking quick access to leading AI models without the hassle of managing multiple providers, keys, or billing systems. This platform provides a single API and an interactive Studio, enabling support for LLMs, image and video generation, and coding workflows across various providers including OpenAI, Anthropic, Google, xAI, and DeepSeek. It is specifically crafted for teams aiming to accelerate their development processes, allowing them to compare different models in a centralized location and select the optimal combination of quality, speed, and cost for their unique projects. Developers can seamlessly incorporate models through straightforward API calls, while creators and non-technical teams benefit from the Studio, where they can effortlessly generate text, images, and videos directly in their web browsers. Additionally, WisGate enhances collaboration by enabling diverse teams to work together efficiently on AI-driven projects.

Moduck serves as an aggregator of AI APIs and a comprehensive platform tailored for developers and product teams. It offers a wide range of APIs, including those for text, image, video, audio, and embedding models, suitable for various applications, tools, and business processes. Users can explore different models organized by provider and task, assess their specifications and configuration alternatives, and access developer documentation in both English and Chinese. The platform features a cohesive interface that enables teams to evaluate the various model options and seamlessly integrate chosen models into their own software and workflows. This service facilitates the creation of AI-powered products, aids in the assessment of model selections, and enhances applications with generative AI functionalities. Through its unified API, Moduck connects applications to selected models from diverse providers, ensuring a streamlined experience for developers. Additionally, the platform is accessible exclusively to registered users, fostering a community of developers engaged in AI innovation.

TensorZero serves as an open-source platform for LLMOps, seamlessly integrating an LLM gateway, observability, evaluation, optimization, and experimentation into a cohesive system. This platform establishes a feedback loop that enhances LLM applications by transforming production metrics and user insights into models and agents that are more intelligent, efficient, and cost-effective. By providing a gateway, TensorZero enables teams to connect once and subsequently access a wide array of leading LLM providers through a singular, consolidated API. This encompasses both API and self-hosted models while offering functionalities such as tool utilization, structured outputs, batch inference, embeddings, multimodal inputs, caching, routing, retries, fallbacks, load balancing, precise timeouts, usage monitoring, customized rate limitations, and protection of provider keys. Developed in Rust, TensorZero prioritizes high performance, ensuring exceptional throughput and minimal latency for production tasks, all while allowing teams the flexibility to implement only the features they require. Its observability component captures inferences and feedback within the user's own database, which can be accessed programmatically or via the open-source user interface. In doing so, TensorZero not only enhances the user experience but also facilitates more effective decision-making through accessible data analytics.

OfoxAI serves as a comprehensive API gateway compatible with OpenAI, allowing developers and teams to seamlessly access over 100 large language models—including GPT, Claude, Gemini, and DeepSeek—through a single endpoint and one API key. Say goodbye to the hassle of managing multiple accounts, SDKs, and invoices: with OfoxAI, you can integrate once, switch between models with ease, and expand from a single prototype to a full-fledged production team effortlessly. Key features include: One API Key, Access to 100+ Models — Stay current with the latest offerings from OpenAI, Anthropic, Google, DeepSeek, and others. Three Native Protocols — Full compatibility with OpenAI, Anthropic, and Gemini SDKs, enabling seamless transitions without code alteration—just change the base URL. Low-Latency Access — Benefit from global routing with an average latency of under 300ms for quick response times. Zero Markup Pricing — Enjoy transparent pricing, paying only the standard rates set by the official providers, free from hidden fees or surcharges. Built for Teams — Utilize a shared billing dashboard, track usage by each member, and implement budget controls effectively. Flexible Payment Options — OfoxAI accommodates various payment methods, including credit cards, PayPal, and other major regional options for convenience and accessibility. Plus, its user-friendly interface ensures that teams of all sizes can navigate the platform with ease.

Beat API serves as a comprehensive AI API platform tailored for developers and product teams. With just a single API key, users can seamlessly access a variety of services including video, image processing, workflows, real-time features, and LLM models from an array of providers such as Seedance, Veo, Kling, Nano Banana, GPT Image, and GPT-5.6. Users can effortlessly submit asynchronous tasks, obtain a task ID, monitor the status through polling or webhooks, and retrieve hosted output files, all while adhering to a unified workflow. The Beat API ensures that all aspects of usage, task status, files, and reasons for failures are consolidated in one location, along with clear model pricing and a pay-as-you-go payment structure. This platform empowers startups, SaaS companies, e-commerce teams, agent builders, and automation workflows to integrate generative media and AI models efficiently, eliminating the need for multiple provider keys, contracts, polling mechanisms, retries, and output storage solutions. By streamlining the process, Beat API significantly reduces complexity, allowing teams to focus on innovation rather than administrative tasks.

APIFree serves as a comprehensive AI Model-as-a-Service platform, granting developers and businesses streamlined access to a variety of top-tier AI models via a single, standardized API interface. This platform consolidates both popular open-source and proprietary models across various domains such as text, images, videos, audio, and code, which allows teams to embed multimodal AI functionalities without the hassle of dealing with multiple vendor accounts, SDKs, or complicated billing procedures. Designed to minimize infrastructure complexity, APIFree features an OpenAI-compatible endpoint, facilitating rapid application connectivity while providing the flexibility to switch between different providers as required. The platform prioritizes extensive model availability, reduced end-to-end latency, and consistent high availability, empowering organizations to concentrate on innovating their products instead of grappling with platform fragmentation. In addition, APIFree enhances the AI deployment process by offering unified authentication, quota management, usage analytics, and cost control measures, thereby boosting operational efficiency and simplifying workflows. Moreover, its user-friendly approach helps teams accelerate their AI integration efforts, leading to faster turnaround times and improved project outcomes.

BlackBit VOID serves as a hosted AI inference gateway and an OpenAI-compatible API designed for developers, security specialists, and researchers alike. It offers a unified endpoint alongside a web console that facilitates access to a diverse range of language and multimodal models, which include options tailored for sanctioned cybersecurity assessments as well as general coding and reasoning applications. Users can generate API keys, explore the features and per-token pricing of various models, experiment with requests in a dedicated playground, oversee usage and manage prepaid credits, and connect with compatible SDKs, IDEs, and agent frameworks. Typical applications encompass software development, code evaluation, security investigations, and sanctioned red-team activities. Accessing VOID is performed through its hosted API and browser console, operating on a pay-as-you-go token pricing model based on specific model usage, as opposed to a standardized subscription fee. It's imperative that security evaluations are confined to systems that users own or have explicit permission to test, ensuring compliance and ethical practices in cybersecurity. This approach not only prioritizes user autonomy but also fosters a responsible environment for research and development.

APIPass serves as a comprehensive platform for the aggregation and management of AI APIs, catering to developers, businesses, and creators across the globe. By consolidating the most sophisticated artificial intelligence models into a single, efficient, and dependable service interface, it enhances accessibility for all users. Whether you are an individual developer, a rapidly expanding startup, or a member of a large corporate tech team, APIPass enables seamless access to a multitude of AI models from prominent providers like OpenAI, Anthropic, Google, Suno, and ByteDance (Seedream) through one cohesive portal. Its robust infrastructure, combined with a design focused on developers, underscores APIPass's commitment to its impressive promise: Any API, Any Model, Always On. This empowering platform not only simplifies the integration process for users but also fosters innovation and collaboration in the rapidly evolving AI landscape.

BetterToken serves as a hosted API gateway for language models, enabling access to a variety of providers such as Anthropic, OpenAI, Moonshot, Z.ai, DeepSeek, Alibaba Cloud, and MiniMax through unique account keys. It features endpoints that are compatible with both OpenAI and Anthropic models, along with a Responses-compatible configuration for Codex, allowing developers to seamlessly link coding tools, applications, agents, and automation workflows via a personalized base URL. Users can explore a dynamic model catalog, monitor their token consumption and associated fees within the workspace, and make payments through either a prepaid balance or monthly subscription plans. The costs associated with different models depend on the input, output, and whether cached or media tokens are utilized. Comprehensive setup guides are available for tools such as Claude Code, Codex, Cursor, Dify, and n8n. Ultimately, BetterToken is designed to assist developers and teams in incorporating hosted language models into their software solutions and automated processes efficiently. With its user-friendly interface and variety of features, BetterToken aims to simplify the integration of advanced language technologies into everyday applications.

AI Gateway HQ serves as a centralized AI gateway and management platform that helps organizations link their applications, coding agents, and automation tools to various model providers. It offers API endpoints that are compatible with OpenAI and Anthropic, efficiently routing requests through a system that manages provider credentials, model aliases, workload keys, and fallback mechanisms. Administrators have the ability to enforce identity and access policies, track request metadata, manage organizational and workload budgets, establish rate and concurrency limits, and analyze routing, usage, costs, and compliance with policies. Additionally, the service allows users to integrate their own provider API credentials or opt for a managed Amazon Bedrock solution that utilizes prepaid credits. Users can configure and govern their requests through a browser-based console and API, with established client setups that feature Codex CLI, Claude Code, and OpenCode. Teams leverage this platform to streamline AI access, manage model utilization and financial outlay, and continuously monitor operational metrics across different applications and environments, ensuring efficiency and accountability in their AI initiatives. Overall, the platform empowers organizations to optimize their AI strategies while maintaining control over resource allocation and compliance.

WhollyAPI serves as a cloud-based AI inference platform that offers developers a comprehensive API for integrating various AI models into their applications and workflows. The platform's extensive model catalog encompasses capabilities such as text generation, embeddings, image and video generation, as well as speech synthesis and recognition, covering a broad spectrum of multimodal tasks. Each model page presents detailed information, demonstration of usage, compatibility with APIs, and a pricing structure based on usage; specifically, the text-generation section outlines how to make OpenAI-compatible chat-completion requests via WhollyAPI's serverless API. Targeted at developers and teams focused on creating AI-driven software, the service allows access to diverse model types through a single hosted solution, eliminating the need for users to manage their own inference infrastructure. This flexibility enables a wide array of applications, from generating or modifying text and images to producing videos, processing audio, and enhancing applications with model-driven functionalities. Additionally, the models offered, their functionalities, and associated costs differ based on specific models and their usage patterns. Ultimately, WhollyAPI simplifies the integration of AI technology for developers by providing a one-stop platform for all their model needs.