Alternatives to BlackBit VOID

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.

Zerouter serves as a hosted AI API gateway tailored for developers who are creating applications and coding workflows that utilize large language models. It offers a single API key along with a customizable base URL to facilitate requests to models from various providers, including Anthropic (Claude), OpenAI (GPT), Google (Gemini), xAI (Grok), and Moonshot AI (Kimi). This gateway presents endpoints compatible with both OpenAI and Anthropic, enabling supported SDKs and clients such as Claude Code, Codex CLI, and Cursor to connect seamlessly to a custom endpoint, thereby eliminating the need for managing multiple provider connections. Users have the ability to choose model IDs, check published per-token pricing, and monitor usage and charges at the request level. Zerouter adopts a pay-as-you-go billing model that charges based on the tokens used for input and output, imposing no subscription fees or monthly minimums. It specifically targets software developers and technical teams looking to integrate hosted LLMs into their applications, coding agents, and diverse API-driven workflows. This flexibility and ease of access make Zerouter a valuable resource for enhancing the efficiency and effectiveness of AI-driven development projects.

Vynaris provides teams with robust hosted models that are uncensored and designed for authorized security assessments, red-teaming exercises, and research endeavors. Accessible via an OpenAI-compatible API, models such as Qwen3.8-27B, DeepSeek-V4-Flash-0731, and Qwen3.6-35B-A3B come with publicly listed token rates and ensure there is no retention of prompts or outputs. Additionally, Vynaris enhances the experience by directing requests to a wider array of models and offering clear cost receipts for each request, allowing applications to seamlessly switch models with just a change in the base URL while also enabling users to monitor the expenses associated with individual requests. This innovative approach not only boosts flexibility but also enhances transparency in usage costs for developers and teams.

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.

Kunavo serves as a centralized AI API gateway tailored for developers and teams, allowing them to manage a single account, utilize one API key, and maintain a prepaid credit balance to access a variety of models from different providers. This platform offers Chat Completions compatible with OpenAI and a dedicated endpoint for Anthropic Messages, all of which are detailed in its live catalog and API documentation. The service is capable of processing requests that encompass text, images, videos, and audio, depending on the chosen model and route. Developers can easily integrate supported SDKs, coding agents, workflow tools, and other clients by simply providing the base URL, key, and model identifier. A user-friendly dashboard tracks request usage and associated costs, and it allows API keys to have individual spending limits and IP allowlists to enhance security. Billing operates on a pay-as-you-go model against prepaid credit, with transparent rates that differ based on the model and modality, eliminating the need for a recurring subscription. Potential applications include the incorporation of model inference into various applications, streamlining coding workflows, automating processes, and enhancing customer support or data processing capabilities with AI. This flexibility makes Kunavo an appealing choice for teams looking to leverage multiple AI models efficiently.

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.

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.

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.

Jectora serves as a centralized AI gateway that enables users to interact with a unified OpenAI-compatible API, allowing requests to be sent to various model providers. Developers can utilize either the OpenAI JavaScript or Python SDK, modify the base URL and model ID as needed, and access various endpoints for chat, responses, and embeddings. A comprehensive model catalog is available, detailing the accessible models, their features, pricing, and service health metrics. Jectora efficiently manages requests across different model providers, while also implementing API-key controls that govern model access, spending limits, expiration dates, and source IP restrictions. The organizational tools facilitate collaborative management among teams, overseeing shared access, usage statistics, account balances, and billing processes. The service operates on a prepaid, pay-as-you-go credit system, with costs determined by the chosen model and its respective input, output, or media usage. This platform is designed specifically for developers and organizations aiming to create AI-driven applications that require a standardized API along with streamlined model usage oversight. Additionally, Jectora's flexibility allows for rapid adaptation to evolving project needs, making it an invaluable resource for innovative development.

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.

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.

Crazyrouter serves as an AI API gateway that provides developers with seamless access to over 300 AI models through a single API key, making it easier to integrate various AI technologies. It is fully compatible with the OpenAI SDK format and supports a wide array of models, including GPT-5, Claude, Gemini, DeepSeek, Llama, Mistral, and many others, all while offering pricing that can be as much as 50% lower than if purchased directly from the providers. Key Features: • One API key grants access to more than 300 models (including OpenAI, Anthropic, Google, Meta, etc.) • OpenAI-compatible API format allows for a hassle-free transition without requiring code modifications • Flexible pay-as-you-go pricing structure with no need for monthly subscriptions • Integrated load balancing, failover solutions, and management of rate limits • A real-time dashboard for monitoring usage and tracking tokens • Compatibility with text, image, video, audio, and embedding models • Reliable enterprise-grade uptime supported by multi-region infrastructure This solution is perfect for developers, startups, and teams who are keen to explore multiple AI models without the complications of managing individual API keys and billing accounts, allowing them to focus more on innovation and development.

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.

Xinference serves as a comprehensive AI inference platform tailored for organizations aiming to utilize open models without the hassle of constructing their own serving infrastructure. Initially, teams can access over 300 open models via the Model API, all accessible through a singular OpenAI-compatible endpoint located in Australia. Transitioning from a current service provider is remarkably straightforward, requiring merely two lines of code. As demand increases, workloads can effortlessly shift to Dedicated Inference on allocated GPUs or even to a private setup within the client’s own cloud or data center. Each deployment is equipped with a unified control plane that features per-request logging, real-time TTFT and TPOT monitoring, role-based access management, audit logs, and single sign-on capabilities. Notably, Xinference prioritizes privacy by not training on or retaining customer data by default. Typical applications of the platform encompass enterprise retrieval-augmented generation (RAG), virtual customer assistants, intelligent agents, function calling, coding support, document extraction, and both speech and image generation. Furthermore, the flexibility of Xinference allows businesses to adapt their AI capabilities as their needs evolve.

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.

ModelLane serves as an intelligent inference gateway and routing control plane designed for developers and organizations that utilize various language model providers. It features an API compatible with OpenAI, enabling users to send requests to models that are either hosted, private, or self-hosted. Teams have the flexibility to create routing policies, referred to as “Lanes,” based on factors like cost, latency, availability, data retention, and geographical region, while also incorporating failover mechanisms, retry options, credential isolation, and detailed visibility into usage and expenses at the route level. The platform supports a variety of documented connectors, including those for OpenAI, Anthropic, Google, Mistral, Groq, and DeepSeek, along with local serving tools such as Ollama and vLLM. Furthermore, it provides an MCP interface that facilitates operations at the model layer. This system has multiple use cases, such as streamlining provider APIs, selecting optimal routes for diverse workloads, ensuring service continuity if a provider becomes unavailable, and overseeing inference activities effectively. Deployment choices are versatile, including options for hosted services, dedicated deployments, or integration within a customer’s VPC, allowing for tailored solutions to fit organizational needs. Ultimately, ModelLane enhances the efficiency and effectiveness of using multiple AI language models across various applications.

Cheaper Inference serves as an API gateway compatible with OpenAI, enabling users to access various AI models from different providers through a unified API key, thus eliminating the need for any changes in request formatting. Developers have the flexibility to switch providers simply by updating the base URL and API key while retaining the same model, messages, tools, streaming configurations, and response management. This service accommodates both text and image models, facilitates vision-enabled chat requests, offers streaming capabilities, includes prompt caching, provides reasoning controls, and allows temporary image uploads for more extensive vision data. Each request can have its model selected individually, and users can filter the catalog based on model type, vision capabilities, reasoning options, streaming availability, or provider identity. The system includes automatic retries to manage network disruptions and provider errors, with fallback routes available for eligible requests to prevent failures. Additionally, every request is documented in the History section, allowing teams to track request volume, token consumption, and overall operational activity, ensuring comprehensive oversight and management of AI interactions. This transparency assists in optimizing usage and understanding patterns over time.

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.

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.

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.

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.

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.

Edgee operates as an AI intermediary that integrates seamlessly with your application and various large language model providers, functioning as an intelligence layer at the edge that minimizes prompt size before they are sent to the model, ultimately decreasing token consumption, lowering expenses, and enhancing response times without requiring alterations to your current codebase. Users can access Edgee via a single API that is compatible with OpenAI, allowing it to implement various edge policies, including smart token compression, routing, privacy measures, retries, caching, and financial oversight, before passing the requests to chosen providers like OpenAI, Anthropic, Gemini, xAI, and Mistral. The advanced token compression feature efficiently eliminates unnecessary input tokens while maintaining the meaning and context, which can lead to a substantial reduction of up to 50% in input tokens, making it particularly beneficial for extensive contexts, retrieval-augmented generation (RAG) workflows, and multi-turn conversations. Furthermore, Edgee allows users to label their requests with bespoke metadata, facilitating the monitoring of usage and expenses by different criteria such as features, teams, projects, or environments, and it sends notifications when there is an unexpected increase in spending. This comprehensive solution not only streamlines interactions with AI models but also empowers users to manage costs and optimize their application’s performance effectively.

AIHubMix serves as an all-encompassing API routing platform for AI models, granting users access to prominent language and multimodal models via a single, streamlined interface. By adhering to the OpenAI API format, it enables developers to utilize an API key and a forwarding base URL for AIHubMix, facilitating effortless transitions between various models by merely adjusting the model ID. This service accommodates OpenAI-compatible, Anthropic-compatible, and native Google Gemini interfaces, thereby simplifying the process of transitioning existing applications and leveraging different provider SDKs without the need for extensive integration modifications. The extensive model catalog includes features such as text generation, reasoning, coding capabilities, visual processing, web searching, deep searching, as well as image and video creation, 3D model generation, text-to-speech and speech-to-text conversions, embeddings, reranking, structured output generation, moderation tools, and prompt caching. Users can filter model metadata by criteria like type, input modality, capability, context length, and coding suitability, aiding teams in selecting the most fitting model for their specific needs. This versatility ensures that developers can efficiently adapt to future advancements in AI technology.

LLM Gateway is a completely open-source, unified API gateway designed to efficiently route, manage, and analyze requests directed to various large language model providers such as OpenAI, Anthropic, and Gemini Enterprise Agent Platform, all through a single, OpenAI-compatible endpoint. It supports multiple providers, facilitating effortless migration and integration, while its dynamic model orchestration directs each request to the most suitable engine, providing a streamlined experience. Additionally, it includes robust usage analytics that allow users to monitor requests, token usage, response times, and costs in real-time, ensuring transparency and control. The platform features built-in performance monitoring tools that facilitate the comparison of models based on accuracy and cost-effectiveness, while secure key management consolidates API credentials under a role-based access framework. Users have the flexibility to deploy LLM Gateway on their own infrastructure under the MIT license or utilize the hosted service as a progressive web app, with easy integration that requires only a change to the API base URL, ensuring that existing code in any programming language or framework, such as cURL, Python, TypeScript, or Go, remains functional without any alterations. Overall, LLM Gateway empowers developers with a versatile and efficient tool for leveraging various AI models while maintaining control over their usage and expenses.

UncensoredLLM serves as a comprehensive API gateway compatible with OpenAI, designed for utilizing uncensored, modified, and roleplay-optimized language models. Developers have the flexibility to choose models by their unique IDs and integrate them seamlessly into their applications, whether through code or compatible chat, writing, and coding clients, utilizing a straightforward base URL and API key for access. The extensive catalog features various builds from model families, including DeepSeek, GLM, Qwen, Gemma, Kimi, and Llama, each with distinct input and output token pricing structures. Additionally, the same API key grants users access to endpoints for generating images and videos, with costs incurred per image or per second of video. Users are billed based on a prepaid balance, and there's a browser-based playground that allows a limited number of free interactions with selected models each day. Publicly available model pages provide insights into catalog details and pricing, while each model undergoes a daily fixed-prompt verification process to ensure accuracy in reported input-token usage, enhancing the reliability of the service. This systematic approach not only improves transparency but also builds user trust in the platform’s capabilities.

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.

CheapTokens offers a pay-as-you-go API service tailored for developers who are creating AI agents, coding workflows, and applications utilizing open-weight language models. The platform features a model catalog that highlights various families, including DeepSeek, GLM, and MiniMax. It supplies API endpoints that are compatible with both OpenAI and Anthropic, allowing developers to utilize existing tools seamlessly. By using a CheapTokens API key, a base URL, and a model ID, developers can easily connect to the supported resources. The billing operates from a prepaid USD balance, charging separate rates for input and output tokens, and eliminates the need for a monthly subscription. Pricing is transparently outlined per million tokens used. Additionally, the website offers comprehensive API documentation, practical request examples, and detailed integration guides for various coding assistants and agent tools, ensuring developers have the resources they need for effective implementation. This combination of accessible pricing and robust support makes CheapTokens an appealing choice for many in the developer community.

A single API encompassing over 160 AI models, all located in Europe, can be accessed through EUrouter, which is compatible with OpenAI; simply direct your base URL to us and continue your development while ensuring GDPR compliance and EU data residency are inherently integrated. Our intelligent routing mechanism selects the most suitable model for each request, while spending controls help maintain predictable billing, and rest assured, your prompts will remain within the EU. This approach not only streamlines the integration process but also enhances data security for your applications.

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.

Abliterated Large V2 is a large language model developed by Abliteration AI for cybersecurity research, software engineering, and complex autonomous AI agent tasks. The model is derived from GLM 5.3 and uses a process known as abliteration to modify neural network weights associated with refusal behavior. This approach is intended to reduce content restrictions that can interfere with authorized security assessments, adversarial testing, and technical research. Its one-million-token context window supports processing large codebases, extensive technical documents, and multistep agent execution histories. The model provides advanced reasoning capabilities for programming, debugging, vulnerability reproduction, and technical problem-solving. Its cybersecurity applications include penetration testing research, security control evaluation, AI red teaming, and vulnerability validation in authorized environments. Native function calling and structured output capabilities allow developers to integrate the model with automated tools and external systems. Abliterated Large V2 is hosted using FP8 numerical precision and supports OpenAI-compatible and Anthropic-style API interfaces. The platform also provides automatic prompt caching and a zero-data-retention policy for API prompts and responses by default.

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.

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.

UnoRouter serves as a versatile gateway for accessing various OpenAI-compatible language models. With a single API key, users can unleash over 200 models from multiple providers including OpenAI, Anthropic, Google, and others, seamlessly integrating coding agents like Claude Code, Cline, Codex, and Kilo Code. By simply directing any OpenAI SDK to the designated base URL, users can effortlessly switch between models without needing to modify their existing code. Additionally, UnoRouter features an integrated chat and character client, which supports personas, lorebooks, and the import of SillyTavern cards, all accessible with the same API key. The platform operates on a usage-based pricing model that includes a free tier, ensuring users have access to live updates on model availability and pricing. This innovative approach simplifies the process of utilizing multiple AI models for various applications.

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.

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.

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.

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.

Mercury 3 is an innovative generative AI model offered by Inception, designed specifically for developers creating interactive applications. It employs a diffusion-based methodology to generate text concurrently, while also enabling streaming responses, tool utilization, structured outputs, and multimodal inputs that encompass text, images, and audio. By leveraging the Inception API, teams can implement it in various applications, such as conversational assistants, voice-driven platforms, search and browsing functionalities, tutoring solutions, and other responsive tasks that require dynamic generation. This powerful model is accessible through Inception's API and partnered inference providers, featuring compatibility with OpenAI's API for seamless integration into existing applications. Developers can assess the quality of the output and its latency before incorporating the model into their software, utilizing the comprehensive documentation provided with the API and SDK ecosystem. The service operates on a token-based usage system, offering a complimentary allocation along with paid rates for input and output tokens; enterprise-level options provide dedicated capacity and specialized support, ensuring flexibility and scalability for diverse projects. Ultimately, Mercury 3 empowers developers to harness advanced AI capabilities in their applications, streamlining the development process and enhancing user experiences.

TrustedRouter serves as a privacy-centric AI gateway, enabling developers to interact with over 600 AI models from more than 90 providers via a single API that is compatible with OpenAI. It ensures privacy by routing requests through a verified gateway that refrains from logging any prompt or output data, maintaining a clear separation between the production prompt pathway and the management dashboard, ensuring that even the engineers cannot access the requests made. Developers can seamlessly continue using the OpenAI SDK by simply adjusting one base URL, while they have the flexibility to select either direct model identifiers or routing aliases, which facilitate healthy provider transitions, utilize zero-retention options, ensure secure compute processing, focus on EU-centric routing, and enable multi-model synthesis. Features like provider failover, regional routing, and ongoing model health monitoring are integrated to prevent any single upstream failure from resulting in a service disruption. Operating across major cloud platforms like GCP, AWS, and Azure, TrustedRouter also makes available metrics on latency, availability, source code, deployment infrastructure, SDKs, and trust verification for thorough examination, thus promoting transparency and reliability in its services. This commitment to openness and security builds trust with developers who prioritize privacy in their applications.

Taam Cloud is a comprehensive platform for integrating and scaling AI APIs, providing access to more than 200 advanced AI models. Whether you're a startup or a large enterprise, Taam Cloud makes it easy to route API requests to various AI models with its fast AI Gateway, streamlining the process of incorporating AI into applications. The platform also offers powerful observability features, enabling users to track AI performance, monitor costs, and ensure reliability with over 40 real-time metrics. With AI Agents, users only need to provide a prompt, and the platform takes care of the rest, creating powerful AI assistants and chatbots. Additionally, the AI Playground lets users test models in a safe, sandbox environment before full deployment. Taam Cloud ensures that security and compliance are built into every solution, providing enterprises with peace of mind when deploying AI at scale. Its versatility and ease of integration make it an ideal choice for businesses looking to leverage AI for automation and enhanced functionality.

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.

ML Junction provides developers with a unified API to interface with various AI model providers seamlessly. It accommodates compatibility with SDKs from OpenAI and Anthropic, features capability-aware routing, and includes mechanisms for retries and fallbacks, along with controls for cost and privacy at the request level. Each request generates a detailed receipt outlining the chosen route, the alternatives that were taken into account, the policies applied, and the total cost incurred. In addition, ML Junction facilitates model evaluations, enhances agent observability, and offers seamless integration with LangChain. Its pricing structure is based on usage through prepaid credits, which can either include the provider’s rates plus an additional routing fee or allow users to utilize their own provider keys. Specifically designed for teams engaged in developing AI applications, it ensures a streamlined and efficient workflow. Furthermore, ML Junction aims to simplify the integration process for developers, making it easier to leverage the power of multiple AI models in their projects.

Ultramarine 1 Flash is a powerful hosted large language model that developers and organizations can access via an API, specifically tailored for enhancing AI-driven professional workflows. It caters to various knowledge work sectors including finance, law, consulting, and operations, facilitating tasks such as research, detailed analysis, and the preparation of documentation. Users can submit prompts to the application and receive either streamed or standard responses, while also utilizing reasoning controls, custom tool calls, and the option to request structured outputs. The API is capable of processing image inputs and is compatible with both OpenAI's chat-completion formats and Anthropic Messages, ensuring versatile integration. Developers can interface with the model through several SDKs, including those from OpenAI and Anthropic, as well as the Claude Agent SDK and Claude Code, and can effectively employ it alongside Paper Instruments' suite of tools for Word, PowerPoint, and Excel. Additionally, the billing structure is based on token usage against a prepaid balance, allowing for flexible financial management of resources. This model represents a significant step forward in the automation of high-level professional tasks, pushing the boundaries of what AI can accomplish in workplace settings.

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.