List of the Top AI Gateways for OpenCode in 2026

OpenCheese AI functions as a unified AI gateway and API aimed at developers who want to connect a variety of applications and coding tools to different AI models through a single service interface. It ensures compatibility with OpenAI endpoints and provides a messaging interface that aligns with Anthropic, including features such as model selection, API key management, usage monitoring, and access to AI models from leading providers like OpenAI, Anthropic, Google, and DeepSeek. By allowing developers to configure supported coding clients and applications to channel requests through OpenCheese, the platform removes the hassle of managing distinct provider credentials for each connection. Additionally, it offers both credit-based and time-limited plans with included balances, where the availability of models, pricing structures, and free options can differ based on the selected model and plan. This service is particularly beneficial for developers working on evaluating or building workflows that involve text, code, and image generation with hosted AI models. Moreover, OpenCheese AI simplifies the integration process, enabling developers to prioritize innovation without getting bogged down by the complexities associated with juggling multiple AI service providers. Ultimately, this platform empowers developers to streamline their projects more effectively and efficiently.

AI Gateway HQ functions as a comprehensive management platform that centralizes AI connectivity, enabling organizations to link their various applications, coding agents, and automation tools with multiple model providers. By offering API endpoints compatible with major players like OpenAI and Anthropic, it efficiently handles requests while managing provider credentials, model aliases, workload keys, and fallback protocols. Administrators can implement strict identity and access controls, monitor request metadata, oversee budgets related to organization and workloads, set rate and concurrency limitations, and analyze routing, usage, costs, and adherence to established policies. Moreover, users have the flexibility to either integrate their own provider API credentials or select a managed solution through Amazon Bedrock, which operates on a prepaid credit basis. Configuration and governance of requests can be easily accomplished via a user-friendly browser-based console and API, which supports established client setups that include Codex CLI, Claude Code, and OpenCode. This platform empowers teams to streamline their AI access, manage both model usage and associated costs, and consistently track operational metrics across various applications and environments, thereby ensuring accountability and efficiency in their AI efforts. Ultimately, the service not only enhances organizational AI strategies but also reinforces control over resource allocation and compliance, fostering a structured approach to AI implementation. Organizations can thus maximize their return on investment while navigating the complexities of AI deployment.

APMix functions as an AI API gateway designed for developers who desire effortless access to multiple language model providers through a single account, API key, and consolidated billing system. It boasts a wide array of models from various suppliers, with the available selections determined by the plan chosen. The platform supports endpoints for OpenAI-compatible Chat Completions and Responses, as well as an Anthropic-compatible Messages endpoint, allowing applications and coding agents to connect with ease by modifying the base URL and API key. Users can create keys, select models, track their usage, and allocate shared monthly weighted-token allowances across different models. To aid developers, detailed setup guides are available for various clients, such as Claude Code, Codex CLI, Cursor, OpenCode, and Kilo Code, in addition to a range of tools and SDKs for added convenience. APMix is meticulously designed for software developers and teams focused on building or managing applications and agent workflows that utilize hosted generative AI models, thus representing a significant resource in the rapidly evolving sphere of AI-driven software development. The platform not only aims to streamline integration but also seeks to boost productivity when working with the latest language models, ensuring that developers can maximize their efficiency and innovation.

OpenCode Zen serves as a comprehensive AI hub, offering coding agents a carefully curated selection of reliable and optimized AI models that have undergone extensive testing and validation by the OpenCode team. This initiative effectively tackles the inconsistencies that arise from the overwhelming variety of available models, as well as the different configurations and service approaches used by various providers, which can lead to variable performance and quality. The team undertakes detailed assessments of a selected range of models, collaborates with model teams and providers to determine ideal operational settings, guarantees precise service delivery, and benchmarks each model-provider combination before making recommendations. Users interact with Zen similarly to other OpenCode providers, utilizing an API key to access a direct interface that showcases the recommended model options. Furthermore, its adoption is entirely at the user's discretion, allowing developers the freedom to integrate it with other coding agents, thus avoiding vendor lock-in while still gaining access to validated model configurations. This flexibility not only enhances the user experience but also promotes innovation in development practices. Ultimately, OpenCode Zen equips developers by simplifying their AI model selection process while ensuring consistent quality and performance across an array of coding tasks.

Experiential acts as a bridge and inference system driven by artificial intelligence, catering to developers and organizations focused on developing AI-centered products or internal solutions. It provides an integrated API that channels requests to multiple hosted model providers, customer-supplied accounts, and custom or self-hosted models, allowing access to APIs from platforms such as OpenAI and Anthropic. Teams can effectively manage their API keys, budgets, and usage limits, while also attributing costs to particular keys or agents, monitoring requests, and configuring provider routing alongside fallback strategies. The platform includes a free tier and subscription-based monthly plans, along with an open-source version for those who prefer self-hosting. For larger enterprises, enhanced plans offer features like governance frameworks and data residency options, and subscribers to paid services gain access to advanced model optimization tools. Additionally, enterprise clients have the distinct advantage of commissioning a custom model trained specifically on their traffic data. Developers benefit from the platform's flexibility, as they can seamlessly connect compatible applications and coding agents by simply modifying their API endpoints and credentials. This all-in-one platform ultimately simplifies the integration of AI capabilities across a variety of applications, making it an indispensable tool for innovation in the tech landscape. Its user-friendly design and robust features further encourage adoption among diverse teams looking to leverage AI technology effectively.

LunaRoute operates as a specialized AI inference gateway and API designed for developers and teams overseeing various coding agents, virtual assistants, applications, and automation tasks. It effectively channels requests to a curated selection of open-weight models through endpoints that are compatible with both OpenAI and Anthropic, and is further supported by a command-line interface and setup documentation to aid in the seamless integration of coding tools and agent frameworks. Subscription plans provide improved concurrent inference capabilities, management of overflow situations, model access, API keys, usage analytics, and administrative controls tailored to the selected package. Users can also take advantage of a hosted MCP server that incorporates web search features, document conversion via OCR, and capabilities for image generation and editing. For larger enterprises, custom offerings include dedicated deployment solutions, tailored routing options, and robust policy enforcement capabilities. LunaRoute is meticulously crafted for software developers and engineering teams in search of an efficient way to connect their current AI clients to model inference services, all while ensuring the ability to scale performance as needed. This holistic approach not only empowers teams to concentrate on innovation but also allows them to depend on LunaRoute for their AI integration requirements, ultimately enhancing productivity and collaboration within their projects.

BlackBit VOID functions as a hosted AI inference gateway and provides an OpenAI-compatible API aimed at developers, security experts, and researchers. It presents a single access point along with a web console that enables users to interact with a variety of language and multimodal models, which are suitable for both authorized cybersecurity evaluations and general coding and reasoning tasks. Users can create API keys, investigate the features and per-token costs of different models, test requests in a specialized playground, monitor their usage, manage prepaid credits, and link with compatible SDKs, IDEs, and agent frameworks. Common uses include software development, code analysis, security research, and authorized red-team exercises. Accessing VOID is done via its hosted API and browser console, utilizing a pay-as-you-go token pricing structure that reflects actual model usage rather than a fixed subscription fee. It is crucial that security assessments are limited to systems owned by the users or those they have explicit permission to test, thereby ensuring adherence to ethical guidelines in cybersecurity. This methodology not only emphasizes user control but also cultivates a responsible framework for research and innovation, ultimately benefiting the broader tech community. The platform stands as a valuable resource for those looking to explore the intersection of AI and cybersecurity in a compliant manner.

Septor Labs provides a cloud-based AI gateway and model routing service specifically aimed at developers focused on building AI agents, copilots, and applications utilizing language models. This solution includes a unified API that enables the routing of requests to different supported models according to priority, weight, active connections, or latency factors. Developers can select a specific model or opt for automatic model selection, activate semantic caching, and configure API keys with unique credit limits along with optional IP whitelisting. The platform supports both OpenAI-style and Anthropic-style request formats, allowing compatible clients to access its services through a single gateway. Moreover, a web console is available for users to manage models and track their usage, while a prepaid credit system supports a pay-as-you-go billing structure. Septor Labs is designed to empower developers and teams by simplifying the integration of sophisticated language model capabilities into their projects, thus improving their overall functionality and productivity. In addition to these advantages, the platform’s features enable users to streamline their AI development workflows, making it easier to innovate and deploy new solutions efficiently.

ApiGo acts as a centralized gateway for AI models, specifically designed for developers and teams working on applications that utilize language models. It provides a single API endpoint that enables requests to be sent to multiple model providers, utilizing formats compatible with OpenAI and offering a cohesive interface for selecting models. Features of the platform include model routing, fallback configurations, API key management, comprehensive request and usage logging, as well as token pricing for each model. Additionally, it includes controls for managing workspace balance and dashboards that provide insights into consumption patterns. Developers benefit from extensive setup guides that aid in integrating various coding assistants and agent tools such as Cursor, Claude Code, Codex CLI, OpenCode, Kimi Code, and OpenClaw. Tailored for teams, ApiGo streamlines the management of access to model providers, usage tracking, and billing through a single hosted gateway, thereby eliminating the complexities of configuring each provider separately. By alleviating these administrative burdens, ApiGo empowers teams to concentrate more on innovation and development, ultimately enhancing productivity and efficiency. Moreover, this centralized approach not only saves time but also fosters collaboration among team members as they navigate the complexities of AI integration.

OmniaKey functions as a robust AI API gateway tailored for developers and teams focused on application development, coding agents, and media workflow management. With a single account and a prepaid balance, users can effortlessly tap into a diverse range of language, image, video, and music models from multiple providers. When it comes to chat functionalities, clients can choose from API surfaces that work with OpenAI, are native to Anthropic, or are based on Gemini; media generation is handled through asynchronous tasks that necessitate both submission and result polling. The platform is also equipped with model discovery features, comprehensive API documentation, and tools for managing keys and usage, along with setup guidance for various tools such as Claude Code, Cursor, Codex CLI, Cline, and aider, including SDK clients that support OpenAI. An engaging browser-based Studio is provided, featuring generators for text, images, videos, and audio content. Pricing varies based on the models used, with charges applied according to billing units that are deducted from the prepaid balance, eliminating the need for a monthly subscription. By consolidating access to a plethora of AI models through a single account, OmniaKey enhances the efficiency of software and agent workflows, enabling teams to concentrate on crafting groundbreaking solutions while avoiding the complications associated with managing multiple accounts. This all-in-one approach not only simplifies the user experience but also encourages innovation across various projects.

Concentrate AI acts as a centralized hub for agile teams, providing a unified API that links to all leading LLM providers while streamlining routing, spending, logging, and governance. By utilizing this platform, teams can safely harness and oversee artificial intelligence capabilities through a single API, which ensures that every request is routed to the most efficient, cost-effective, and high-performing model tailored for specific tasks or workflows. With access to more than 130 models, teams can assess speed, quality, and cost, effortlessly channeling workloads to the best-suited options without the hassle of integrating multiple provider APIs into their systems. Recognizing that diverse applications like support bots, coding agents, internal tools, chat functions, and batch jobs have unique requirements, Concentrate enables teams to select model slugs, limit authorized providers, prioritize based on real-time latency, and apply fallback strategies to redirect traffic when providers experience slowdowns, errors, or limitations. Furthermore, it presents a holistic view of AI usage for engineering, finance, security, and leadership teams, featuring comprehensive logs at the request level that detail models utilized, provider specifics, duration, token consumption, costs, error rates, alerts, and data export options, which enhances oversight and informed decision-making in AI implementation. This transparency and level of control empower organizations to effectively fine-tune their AI strategies, ultimately driving better performance and resource allocation across various departments. By leveraging such features, teams can also ensure compliance and accountability in their AI initiatives.

Peezy Gateway is an innovative AI inference gateway that offers developers and coding agents a single access point to state-of-the-art open models, thus simplifying the process by removing the necessity for multiple layers of third-party routing. By being compatible with OpenAI, this service allows users to point their existing OpenAI SDKs, command-line agents, and other compatible tools to a single base URL, rather than requiring them to individually integrate with each model provider. Currently, P0 is working on revamping the gateway with its own infrastructure, which will facilitate the direct delivery of open models from its GPU clusters, removing the need for intermediaries. The new infrastructure will incorporate B200 and B300 GPU clusters situated in secure facilities across Singapore and China, with the goal of providing a fast and direct connection to all available models. Furthermore, the existing p0ag_ API keys and account credits are set to transition smoothly during the infrastructure upgrade, allowing for current integrations to continue without disruption when the gateway is reintroduced. This strategic move not only simplifies the development process but also significantly improves accessibility for developers within the AI landscape, promoting a more unified approach to model utilization. Ultimately, Peezy Gateway aims to enhance collaboration and innovation in the AI community.

Modelflare acts as a centralized AI API gateway tailored for developers who build applications, agents, and workflows utilizing models from a variety of sources, including GPT, Claude, Gemini, Grok, and DeepSeek. It provides a single API key and a console that accommodates OpenAI-compatible chat interactions and responses, as well as specialized interfaces for images and videos unique to each provider. Developers can experiment with various models and routing configurations, create primary routes, and set up ordered fallback groups, or opt for Smart API Keys to intelligently select routes based on their desired routing preferences. Additionally, API keys can be categorized by project, enabling management through features like quotas, expiration dates, and restrictions tied to specific models or IP addresses. The service diligently monitors usage at the request level, including details on token counts, routing information, and related costs, with pricing adjusted according to the selected model, group, and billing unit. Comprehensive documentation is available, offering setup guides for SDKs, programming agents, plugins, and workflow tools, providing developers with essential resources to fully leverage the platform. In summary, Modelflare streamlines the process of integrating various AI models into a seamless ecosystem, ultimately boosting developers' efficiency and fostering innovation in their projects. By doing so, it not only enhances user experience but also encourages diverse applications of AI across different domains.