Alternatives to ToolRouter

Gemini Enterprise Agent Platform is Google Cloud’s next-generation system for designing and managing advanced AI agents across the enterprise. Built as the successor to Vertex AI, it unifies model selection, development, and deployment into a single scalable environment. The platform supports a vast ecosystem of over 200 AI models, including Google’s latest Gemini innovations and popular third-party models. It offers flexible development tools like Agent Studio for visual workflows and the Agent Development Kit for deeper customization. Businesses can deploy agents that operate continuously, maintain long-term memory, and handle multi-step processes with high efficiency. Security and governance are central, with features such as agent identity verification, centralized registries, and controlled access through gateways. The platform also enables seamless integration with enterprise systems, allowing agents to interact with data, applications, and workflows securely. Advanced monitoring tools provide real-time insights into agent behavior and performance. Optimization features help refine agent logic and improve accuracy over time. By combining automation, intelligence, and governance, the platform helps organizations transition to autonomous, AI-driven operations. It ultimately supports faster innovation while maintaining enterprise-grade reliability and control.

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.

OpenRouter is a unified AI inference platform that lets developers connect to a large catalog of models without integrating separately with every model provider. Through one API, users can access models from major AI companies including OpenAI, Google, Anthropic, Meta, Mistral, DeepSeek, Qwen, xAI, and numerous independent providers. The service supports multimodal workloads involving text, images, video, and audio. Developers can use a single account, credit balance, and API key across supported models instead of maintaining separate billing relationships and credentials. OpenRouter's routing infrastructure can prioritize providers based on factors such as price, latency, and reliability. Requests can also be redirected to alternate providers when a preferred endpoint becomes unavailable, helping applications maintain higher uptime. Organizations can configure data policies that restrict prompts to approved models and infrastructure providers. The platform provides benchmarks, model rankings, usage information, documentation, and developer tools for evaluating and deploying different models. OpenRouter is OpenAI API compatible, making it easier for teams to add broad model access to existing AI applications with limited integration changes.

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.

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.

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.

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.

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.

The Apigene MCP Gateway serves as the essential runtime layer that links AI agents to APIs and MCP servers via the Model Context Protocol. By presenting agent tools, context, skills, and instructions as a unified remote MCP endpoint that is fully managed and regulated, it transforms MCP into a fully-fledged native solution rather than a mere experimental tool. Apigene offers a comprehensive agent foundation layer encapsulated within a single MCP Gateway, enabling agents to connect securely with APIs and MCP servers without the need for bespoke glue code or framework-specific adaptations. Teams can effortlessly construct AI agents using conversational interfaces, specifying which APIs and MCP servers the agents can access, outlining their reasoning processes, and dictating their actions—all without writing code. Additionally, it features intelligent tool selection that effectively pairs the appropriate API or MCP tool with each request, while also allowing for multi-platform deployment across numerous environments, including ChatGPT, Claude, Cursor, Gemini, VS Code, internal copilots, enterprise AI systems, and custom applications. This powerful integration streamlines the development process, making it easier for teams to leverage AI in their projects.

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.

AVIS serves as a comprehensive AI infrastructure platform and a cohesive AI API, granting developers access to over 400 AI models via a single API key and endpoint. By eliminating the need to juggle multiple SDKs, API integrations, billing accounts, and rate limits from various providers, developers can connect once and seamlessly switch between models by merely altering a model identifier. This streamlined approach facilitates easy comparisons of models, the execution of A/B tests, performance optimization, cost management, and the prevention of vendor lock-in. Additionally, AVIS stands out due to its Tier-1 partnership with BytePlus, which ensures direct access and priority queues for cutting-edge AI models like Seedance and Seedream. The AVIS platform consolidates essential tools required for developing and deploying AI applications, allowing for efficient access to a diverse range of models across video, text, image, audio, embeddings, and other AI capabilities from top-tier providers within a single unified API. The convenience of using AVIS not only enhances productivity but also empowers developers to innovate more freely and effectively in the ever-evolving landscape of artificial intelligence.

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.

AnonRouter serves as a hosted API and AI model router tailored for developers engaged in creating AI applications. It offers a single OpenAI-compatible endpoint, providing access to various models from different providers, along with features such as a model catalog, pricing per model, privacy labels, routing capabilities, and automatic failover. Developers can easily link compatible clients by setting up the endpoint and an API key, or they can utilize the browser-based Chat and Studio for models related to text, images, and speech. The billing for requests operates on a prepaid credit system, with charges determined by model usage and additional fees for credit purchases. Depending on the model and provider selected, requests can be processed with standard handling, private options, a trusted execution environment, or end-to-end encryption when available. AnonRouter is specifically crafted for developers, AI teams, and individual users eager to build, connect, or test applications utilizing a diverse array of AI models through a unified interface, making it a versatile solution in the evolving landscape of AI development. Additionally, it enhances collaboration among teams by streamlining access to multiple models and ensuring efficient management of resources.

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.

Webrix MCP Gateway serves as a comprehensive infrastructure for enterprises aiming to integrate AI solutions securely, allowing for seamless connections between various AI agents (such as Claude, ChatGPT, Cursor, and n8n) and internal systems on a large scale. Utilizing the Model Context Protocol standard, Webrix presents a unified secure gateway that tackles the primary hurdle hindering AI adoption: security apprehensions related to tool accessibility. Key features include: - Centralized Single Sign-On (SSO) and Role-Based Access Control (RBAC) – This allows employees to connect to authorized tools immediately, bypassing the need for IT ticket requests. - Universal agent compatibility – The platform supports any AI agent that complies with the MCP standard. - Robust enterprise security – Encompasses audit logs, credential management, and strict policy enforcement. - Self-service functionality – Employees can effortlessly access internal resources (like Jira, GitHub, databases, and APIs) through their chosen AI agents without requiring manual setups. By addressing the essential challenge of AI integration, Webrix empowers your workforce with the necessary AI capabilities while ensuring robust security, oversight, and compliance. Whether you choose to deploy it on-premise, within your cloud infrastructure, or utilize our managed services, Webrix adapts to fit your organization's needs.

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.

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.

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.

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.

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.

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.

DDS Hub provides users the ability to utilize APIs from Claude, Codex, Kimi, and GLM while enjoying savings of up to 90%. It also offers support for various tools, including Claude Code, Codex CLI, Cursor, and additional AI coding resources to enhance productivity.

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.

NewRouters serves as an API platform designed for developers who are creating applications utilizing language, image, and video models. The platform not only facilitates access to various models but also offers features for managing API keys, handling billing processes, and overseeing request management. Developers are encouraged to explore the available documentation and public model catalogs to understand the supported protocols, the specific inputs required for each model, and the current pricing structures prior to incorporating the APIs into their projects. Additionally, the service features routes for native language models and supports asynchronous media tasks, enhancing its functionality. Comprehensive public API documentation is available, detailing the formats for requests, authentication methods, task creation procedures, and how to retrieve results efficiently. It is advisable for users to regularly consult the live catalogs to stay informed about the available models and their respective capabilities, ensuring they make the best use of the platform’s offerings.

NanoGPT is a subscription-based AI solution designed to cater to a variety of workflows, offering users comprehensive access to chat, image, video, audio, speech, and embedding models all from a single platform. Its design aims to simplify the user experience for those seeking robust AI models without the hassle of managing multiple subscriptions or accounts, while ensuring that conversation histories remain private by default and providing secure options for handling sensitive information. By integrating models from leading providers such as ChatGPT, Claude, Gemini, DeepSeek, Llama, DALL-E, Stable Diffusion, Flux, Recraft, and others, NanoGPT allows users the flexibility to choose the most suitable tool for their specific tasks. The platform facilitates a wide range of functionalities, including conversations, coding, creative writing, image and video generation, audio production, text-to-speech, web searching, file uploads, and model comparisons, all within a unified interface. Additionally, its model pages offer users the ability to explore and discover various AI language models tailored for conversations, programming, and creative projects, as well as access to image models for artistic endeavors. This versatility makes NanoGPT an invaluable resource for users looking to enhance their creative and professional projects with advanced AI capabilities.

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.

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.

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.

LLMWise is a unified API and dashboard for working across dozens of leading LLMs without juggling multiple vendor subscriptions. Instead of paying for separate plans, you can run prompts through GPT, Claude, Gemini, DeepSeek, Llama, Mistral, and more using one wallet and one key. Its core value is orchestration: you can Chat with a single model or use modes like Compare, Blend, Judge, and Failover to get better outcomes. Compare sends the same prompt to multiple models at once and returns responses with latency, token counts, and cost metrics. Blend combines the strongest parts of different answers into a single synthesized output. Failover applies reliability patterns like fallback chains and routing strategies when models rate-limit or go down. Billing is credit-based but settled by real token usage, so costs track actual consumption rather than fixed monthly commitments. A free trial includes credits that never expire, making it easy to test models and workflows before paying. For teams that want deeper control, it supports BYOK so requests can route through existing provider contracts. Security features include encryption in transit and at rest, opt-in-only training, and one-click data purge.

SecondStack offers a comprehensive AI solution for businesses, ensuring that data remains secure by not transferring it to third-party cloud services. It integrates an enterprise LLM gateway with pre-configured workspaces tailored for different functions: Chat for routine tasks, Code for software developers, and Agent for automation processes. This gateway allows platform and security teams to maintain centralized control over all models and providers used within the organization, featuring unified authentication, tailored access policies for each team, budget management, and visibility into usage metrics. By deploying within your own infrastructure, SecondStack ensures that prompts and data stay within your environment, although a managed hosting option is available for those who prefer the vendor to handle operations. Unlike traditional pricing models, SecondStack does not charge on a per-seat basis, making it cost-effective to implement AI across the entire organization without incurring significant additional expenses. Furthermore, its deployment and operations are supported by a partner certified in ISO 27001, providing additional assurance of security and compliance. Ultimately, SecondStack serves as a viable alternative to building a system from scratch that includes LiteLLM, custom authentication, user interfaces, and administrative tools.

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.

LiteLLM serves as a comprehensive platform that simplifies engagement with more than 100 Large Language Models (LLMs) via a single, cohesive interface. It includes both a Proxy Server (LLM Gateway) and a Python SDK, which allow developers to effectively incorporate a variety of LLMs into their applications without hassle. The Proxy Server provides a centralized approach to management, enabling load balancing, monitoring costs across different projects, and ensuring that input/output formats align with OpenAI standards. Supporting a wide range of providers, this system enhances operational oversight by creating distinct call IDs for each request, which is essential for accurate tracking and logging within various systems. Additionally, developers can utilize pre-configured callbacks to log information with different tools, further enhancing functionality. For enterprise clients, LiteLLM presents a suite of sophisticated features, including Single Sign-On (SSO), comprehensive user management, and dedicated support channels such as Discord and Slack, ensuring that businesses have the resources they need to thrive. This holistic approach not only improves efficiency but also fosters a collaborative environment where innovation can flourish.

OpenRouter Fusion transforms a prompt into a compact deliberation process involving multiple models, allowing users to access combined results as effortlessly as they would from a single model. A consortium of specialized models examines the prompt simultaneously while utilizing web search and web fetch capabilities, after which a judge model evaluates their outputs and presents a structured analysis featuring consensus, contradictions, partial coverage, unique insights, and blind spots. This comprehensive analysis culminates in the final answer, enabling users to gain insights from various viewpoints instead of depending solely on one model. Fusion is particularly advantageous in scenarios where a single model falls short, such as in research, expert evaluations, comparative prompts, multi-domain inquiries, or any situation where inaccuracies could be costly. Users have the flexibility to access Fusion directly via the openrouter/fusion model alias, activate it as a fusion server tool, or set it up through the Fusion plugin; all these methods utilize the same underlying framework. By providing these versatile entry points, Fusion caters to a wide range of user needs and preferences.

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.

Superpowers is an agentic software development framework that provides coding agents with a complete methodology for building software more carefully and consistently. The framework is built around composable skills that automatically guide agents through the right workflow at each stage of development. Instead of immediately generating code, an agent using Superpowers first clarifies the user’s goal, develops a specification, and presents the design in readable sections for approval. Once the design is approved, the agent creates a detailed implementation plan with small tasks, exact file paths, verification steps, and testing expectations. Superpowers strongly emphasizes true test-driven development, including writing failing tests first, making them pass, refactoring, and committing only after verification. The framework can use subagents to complete tasks, inspect work, review implementation quality, and continue progressing through a structured plan. It includes skills for brainstorming, writing plans, executing plans, systematic debugging, code review, git worktrees, and finishing development branches. Superpowers supports multiple coding environments, including Claude Code, Codex, Gemini CLI, OpenCode, Cursor, Factory Droid, and GitHub Copilot CLI. Superpowers helps software teams reduce agentic mistakes, improve code quality, and make AI-assisted development more predictable.

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.

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.

Espressive's Barista LLM Gateway offers businesses a secure and efficient means to incorporate Large Language Models, such as ChatGPT, into their workflows. This gateway serves as a crucial access point for the Barista virtual agent, empowering organizations to implement policies that promote the safe and ethical utilization of LLMs. Additional protective measures may involve monitoring compliance with rules to avoid the dissemination of proprietary code, sensitive personal information, or customer data; restricting access to certain content areas, and ensuring that inquiries remain focused on professional matters; as well as notifying staff about the possibility of inaccuracies in the responses generated by LLMs. By utilizing the Barista LLM Gateway, employees can obtain support for work-related queries spanning 15 different departments, including IT and HR, thereby boosting productivity and fostering greater employee engagement and satisfaction. This comprehensive approach not only enhances operational efficiency but also cultivates a culture of responsible AI usage within the organization.

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.

GHOSTMETAL offers a web-based AI chat platform along with an API designed for applications that utilize language and image processing models. The platform features the GLM-5.3 model, which provides a 256K context window, the GLM-5.3-long model with a 1M context window, and the Qwen-3.8 model, which includes integrated web search capabilities as well as tools for image creation and editing. Additionally, its OpenAI-compatible REST API supports real-time data streaming and is compatible with various clients, including Cursor, Cline, Continue, SillyTavern, Agnai, LangChain, and OpenAI SDKs. This service caters to both individuals and developers who leverage AI technologies for tasks related to software development, writing, and creative processes. Users have the option to pay with prepaid credits or subscribe to monthly plans, while also having the capability to manage distinct API tokens for different applications. GHOSTMETAL operates its services on proprietary hardware; prompts and responses are handled in memory, ensuring that chat histories and images are securely stored within the user's browser environment. This design emphasizes user privacy and data security, making GHOSTMETAL a compelling choice for those in need of robust AI solutions.

Runware offers swift and economical generative media solutions that leverage custom-built hardware alongside renewable energy sources. Their Sonic Inference Engine achieves remarkable sub-second inference times with models such as SD1.5, SDXL, SD3, and FLUX, making it suitable for real-time AI applications while maintaining high quality. With the capability to support over 300,000 models, including LoRAs, ControlNets, and IP-Adapters, users can effortlessly switch between models as needed. Among its advanced capabilities are text-to-image and image-to-image generation, inpainting, outpainting, background removal, upscaling, and compatibility with technologies like ControlNet and AnimateDiff. Notably, Runware's entire infrastructure runs on renewable energy, resulting in a reduction of approximately 60 metric tonnes of CO₂ emissions each month. The platform features a versatile API that accommodates both WebSockets and REST, ensuring smooth integration without requiring costly hardware investments or specialized AI knowledge. This combination of speed, efficiency, and sustainability positions Runware as a leader in the generative media landscape.

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.

Barside is a complimentary desktop productivity application that consolidates various elements such as notes, tasks, reading materials, meetings, collaborative spaces, and AI functionalities. Users can create notes that incorporate links, maps, drawings, kanban boards, tables, and charts, with the added ability to import from popular platforms like Notion, Obsidian, or Evernote. Tasks are organized on a task board, featuring checklists that include due dates and reminders for effective time management. Articles and newsletters are directed to a reading inbox, allowing users to highlight important information. Collaborative community spaces and team hubs are equipped with chat features, polls, and shared notes and files for enhanced teamwork. Video meetings are facilitated with options for screen sharing and live captions, and users can incorporate screen recordings into their notes, which can be edited into captioned video clips. The app's AI assistant and scheduled agents can utilize accounts from services such as Claude, ChatGPT, Gemini, or OpenRouter, and users have the ability to undo any changes made. Barside also seamlessly integrates with Claude Code and Cursor via MCP. Among its many features, the app provides a password manager, clipboard history, and a comprehensive system-wide search function. Importantly, notes are stored locally, allowing users to access their information without needing to create an account, thus ensuring both convenience and privacy. This multifunctional app caters to diverse productivity needs, making it a versatile tool for individuals and teams alike.

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.