Alternatives to TokenRa

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.

MiniMax M3 is a frontier open-weight AI model built for coding, agentic work, multimodal understanding, and ultra-long-context tasks. The model supports up to a 1 million token context window, allowing it to work across large codebases, long documents, logs, project histories, and complex task environments. MiniMax M3 introduces MiniMax Sparse Attention, a sparse attention architecture designed to make long-context processing more efficient. The model is natively multimodal, with training that supports deeper semantic fusion across text, image, and video inputs. It is designed to support software engineering tasks, repository analysis, terminal-style work, browser-style retrieval, tool use, and autonomous workflows. MiniMax M3 has a mixture-of-experts architecture with hundreds of billions of total parameters and a smaller activated parameter count for more efficient inference. Developers can use it for AI coding assistants, workflow automation, research agents, document analysis, visual reasoning, and enterprise AI systems. Its long-context capability makes it especially useful when tasks require many files, references, instructions, or interaction histories to stay available at once. MiniMax M3 helps teams build more capable AI agents that can understand larger problems, work across multiple modalities, and execute complex tasks with stronger context awareness.

Makernice offers a cloud-based API and web console designed for developers who are creating applications and workflows that produce AI-generated videos and images. By using a single API key linked to a prepaid balance in U.S. dollars, users can access a variety of models—12 for video and 4 for images—sourced from companies like ByteDance, Kuaishou, MiniMax, and Alibaba. The API supports several functionalities, including text-to-video, image-to-video, reference-based video generation, text-to-image, and image editing. Developers have the option to request pricing estimates prior to generating content, submit jobs asynchronously, monitor their progress, and retrieve the final results. Billing for video is calculated by the second, while image generation is charged per instance, with prices differing according to the chosen model and specific settings. Users can add funds starting from $15, with the advantage of no subscription fees and balances that never expire. Additionally, any failed or timed-out jobs, as well as cancellations during the queue, will release the held funds, although charges may still apply for outputs that are blocked due to moderation. The accompanying browser console allows users to access the same models without any coding requirements, making it even easier for non-developers to experiment with AI-generated content.

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.

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.

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.

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.

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.

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

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.

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.

MiniMax is an AI platform that provides multimodal foundation models, developer tools, and intelligent agent solutions designed to support coding, automation, content generation, and enterprise AI applications. The company’s flagship model, MiniMax M3, delivers advanced coding performance, long-context processing capabilities of up to one million tokens, and native multimodal functionality that enables seamless understanding and generation of text, audio, images, video, and music. MiniMax Code serves as an AI-powered coding environment that allows users to build agent teams, automate repetitive development tasks, create custom skills, and manage workflows through a unified conversational interface. In addition to coding solutions, the platform offers video generation through Hailuo AI, speech and music generation models, conversational AI products, and developer APIs for integrating AI into custom applications. The platform is designed to support both individual users and enterprise teams seeking scalable AI tools for software development, business automation, creative production, and research. By combining frontier AI models with practical productivity applications, MiniMax enables organizations to streamline operations, enhance innovation, and build intelligent systems more efficiently.

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.

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.

MiniMax M3.1 Flash is an advanced hosted language model designed specifically for developers who are creating coding assistants, AI agents, and various software applications. It can be accessed via MiniMax's API and MiniMax Code, allowing it to process inputs in text, image, and video formats while generating relevant text responses. Among its documented applications are functionalities such as code generation, debugging, complex reasoning tasks, tool utilization, analysis of codebases and documents, as well as enhancing computer workflows. The API boasts an impressive context window that can handle up to 1 million tokens, offers adjustable reasoning capabilities, and supports request formats that are compatible with both OpenAI and Anthropic standards. Charges for usage are based on the number of tokens used for input, output, and cached input. Comprehensive documentation is provided by MiniMax to assist with API integration and effective model utilization. M3.1 Flash is accessible through the hosted API, M Plan, and MiniMax Code, while there are plans to release model weights in the future, expanding its potential applications even further. This innovation represents a significant step forward in the integration of AI into software development processes.

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.

Run BiOS offers a serverless and OpenAI-compatible inference solution that allows you to direct the OpenAI SDK towards its endpoint, enabling you to maintain your existing code. It features six model families—Claude, DeepSeek, GLM, Kimi, MiniMax, and Qwen—alongside a bios-adaptive system that optimizes each request for quality, speed, and budget while adhering to a specified price ceiling. Both prompts and responses are temporarily stored in memory and removed once the request is fulfilled, ensuring there are no request logs, content stores, or archives retained. Additionally, fine-tuning and dedicated GPU endpoints can be accessed under the same account if you later decide to obtain ownership of the weights, with billing occurring per second of GPU usage. The pricing structure is based on your consumption from a prepaid balance, calculated per million tokens, and the endpoint will pause instead of accumulating debt if your balance depletes.

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.

ClinePass is a subscription service that provides access to open weight models within Cline, aimed at offering developers ample quotas and dependable access to powerful coding models without the hassle of managing different provider setups or API keys. Tailored for use with Cline IDE and CLI, this service allows developers to transition from registration to coding in just a few minutes; simply create an account, install Cline, choose the ClinePass provider, and begin coding. The platform features an agent harness optimized for open-weight model workflows, streamlining the development process. ClinePass encompasses a variety of open weight models from notable sources such as Z.ai, Moonshot AI, DeepSeek, MiniMax, MiMo, and Qwen. Among these models are GLM 5.2 for advanced reasoning, Kimi K2.7 Code specifically for coding tasks, and Kimi K2.6 designed for agentic workflows. Additionally, the service includes DeepSeek V4 Pro for handling extensive changes, DeepSeek V4 Flash for rapid iteration, MiniMax M3 catering to general coding needs, MiMo V2.5 Pro for professional workloads, MiMo V2.5 for efficient editing, Qwen3.7-Max suited for demanding tasks, and Qwen3.7-Plus offering a balanced approach to coding. This diverse array of models ensures that developers have the tools they need for a wide range of programming challenges.

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.

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

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.

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.

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.

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.

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

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.

LinkModel serves as a robust AI model infrastructure designed specifically for creators and developers. By utilizing a single, unified API, users can generate text, images, and videos across various leading models without the need to manage multiple provider integrations. Developers benefit from the ability to easily switch between models by simply adjusting a parameter, while also being able to monitor request status, track progress, and manage costs, all within an intuitive visual playground. Offering a transparent pay-as-you-go pricing model, LinkModel provides savings of up to 30% starting from the initial request, along with a complimentary $1 usage credit upon registration and additional discounts for future top-ups. Additionally, the platform supports production development workflows with comprehensive SDKs and practical examples. This seamless integration fosters creativity while streamlining the development process, making it an essential tool for innovative builders.

ModelArk is the central hub for ByteDance’s frontier AI models, offering a comprehensive suite that spans video generation, image editing, multimodal reasoning, and large language models. Users can explore high-performance tools like Seedance 1.0 for cinematic video creation, Seedream 3.0 for 2K image generation, and DeepSeek-V3.1 for deep reasoning with hybrid thinking modes. With 500,000 free inference tokens per LLM and 2 million free tokens for vision models, ModelArk lowers the barrier for innovation while ensuring flexible scalability. Pricing is straightforward and cost-effective, with transparent per-token billing that allows businesses to experiment and scale without financial surprises. The platform emphasizes security-first AI, featuring full-link encryption, sandbox isolation, and controlled, auditable access to safeguard sensitive enterprise data. Beyond raw model access, ModelArk includes PromptPilot for optimization, plug-in integration, knowledge bases, and agent tools to accelerate enterprise AI development. Its cloud GPU resource pools allow organizations to scale from a single endpoint to thousands of GPUs within minutes. Designed to empower growth, ModelArk combines technical innovation, operational trust, and enterprise scalability in one seamless ecosystem.

EvoLink serves as a comprehensive platform for developers aiming to create fully functional AI applications via a single API interface. By simplifying access to top-tier models for text, images, video, and audio, it offers features such as clear pricing structures, intelligent routing capabilities, automatic failover, and centralized oversight of usage. Designed for developers, startups, and engineering teams, EvoLink eliminates the hassle of individually integrating and managing various AI providers, allowing users to utilize multiple models with just one API key and a uniform integration process. The platform encompasses a wide range of functionalities including text generation, reasoning, coding assistance, image creation and manipulation, video production, and AI-generated music. Furthermore, developers can effortlessly evaluate model capabilities and pricing, adapt their model choices as project needs evolve, and oversee all usage and billing from a singular dashboard. This unified approach not only enhances efficiency but also fosters innovation across diverse AI applications.

A compact model that excels in textual understanding and multimodal reasoning capabilities. The GPT-4o mini is designed to handle a wide array of tasks efficiently, thanks to its low cost and minimal latency, making it ideal for applications that require chaining or parallelizing multiple model calls, such as invoking several APIs simultaneously, processing extensive context like entire codebases or conversation histories, and providing swift, real-time text interactions for customer support chatbots. Currently, the API for GPT-4o mini accommodates both text and visual inputs, with plans to introduce support for text, images, videos, and audio in future updates. This model boasts an impressive context window of 128K tokens and can generate up to 16K output tokens per request, while its knowledge base is current as of October 2023. Additionally, the enhanced tokenizer shared with GPT-4o has made it more efficient in processing non-English text, further broadening its usability for diverse applications. As a result, GPT-4o mini stands out as a versatile tool for developers and businesses alike.

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.

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.

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.

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.

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.

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.

SJolt is an advanced API platform crafted for developers, product teams, and creators, enabling them to access cutting-edge models for image, video, and text generation. It features a cohesive interface for various generation tasks, empowering users to efficiently experiment with and implement these models. Key Features of SJolt Model Playground: Users can experiment with and compare multiple generation models using API-ready inputs in an intuitive setting. Cost Comparison: The platform allows users to assess the quality of outputs alongside pricing from different models, which aids in making well-informed choices. Seamless Integration: Transitioning from the testing phase in the playground to live API calls can be done effortlessly without altering the request format. Usage Tracking: This feature allows users to oversee API usage and expenses through a single balance, streamlining both billing and management processes. Asynchronous Processing: SJolt facilitates the management of lengthy video generation tasks via asynchronous queues, ensuring that processing remains efficient. Additionally, SJolt's robust architecture supports scalability, making it suitable for both small projects and large-scale applications.

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.

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.

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.

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

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.

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.

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.