Alternatives to Cloudflare AI Gateway

Compare Cloudflare AI Gateway alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Cloudflare AI Gateway in 2026. Compare features, ratings, user reviews, pricing, and more from Cloudflare AI Gateway competitors and alternatives in order to make an informed decision for your business.

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    Cloudflare

    Cloudflare

    Cloudflare

    Cloudflare is the foundation for your infrastructure, applications, and teams. Cloudflare secures and ensures the reliability of your external-facing resources such as websites, APIs, and applications. It protects your internal resources such as behind-the-firewall applications, teams, and devices. And it is your platform for developing globally scalable applications. Your website, APIs, and applications are your key channels for doing business with your customers and suppliers. As more and more shift online, ensuring these resources are secure, performant and reliable is a business imperative. Cloudflare for Infrastructure is a complete solution to enable this for anything connected to the Internet. Behind-the-firewall applications and devices are foundational to the work of your internal teams. The recent surge in remote work is testing the limits of many organizations’ VPN and other hardware solutions.
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    Amazon API Gateway
    Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. APIs act as the "front door" for applications to access data, business logic, or functionality from your backend services. Using API Gateway, you can create RESTful APIs and WebSocket APIs that enable real-time two-way communication applications. API Gateway supports containerized and serverless workloads, as well as web applications. API Gateway handles all the tasks involved in accepting and processing up to hundreds of thousands of concurrent API calls, including traffic management, CORS support, authorization and access control, throttling, monitoring, and API version management. API Gateway has no minimum fees or startup costs. You pay for the API calls you receive and the amount of data transferred out and, with the API Gateway tiered pricing model, you can reduce your cost as your API usage scales.
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    MuleSoft Anypoint Platform
    MuleSoft is an agentic control plane designed to help enterprises govern, orchestrate, and secure AI agents, APIs, applications, models, and data across complex digital environments. The platform supports multi-agent governance, API management, integration, automation, and gateway federation from one unified control plane. With solutions such as MuleSoft Agent Fabric, MuleSoft Omni Gateway, Agent Registry, Agent Scanners, and Agent Broker, organizations can discover agents, manage interactions, reduce shadow AI, and coordinate workflows across ecosystems. MuleSoft also helps teams turn existing APIs and applications into governed tools that AI agents can safely discover and use. Its platform supports developers and business users with natural language development, prebuilt connectors, monitoring, API governance, and integration tools. MuleSoft is built to help enterprises scale AI adoption with stronger compliance, observability, security, and operational confidence.
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    OpenRouter

    OpenRouter

    OpenRouter

    OpenRouter is an AI model routing platform that gives developers access to hundreds of models through a single unified API. It connects users with models from providers such as OpenAI, Anthropic, Google, Meta, Mistral, DeepSeek, Qwen, xAI, and many others. The platform supports text, image, video, and audio generation while allowing developers to use one API key and a consistent interface across providers. OpenRouter can route requests based on price, performance, and availability, with fallback options that help maintain service when a provider experiences downtime. It also offers configurable data policies so organizations can control which providers receive prompts and how requests are handled. Developers can purchase credits, choose from more than 500 active models across over 80 providers, and integrate OpenRouter using an OpenAI-compatible API.
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    Bifrost

    Bifrost

    Maxim AI

    Bifrost is a high-performance AI gateway that unifies access to 20+ providers OpenAI, Anthropic, AWS, Bedrock, Google Vertex, Azure, and more, through a unified API. Deploy in seconds with zero configuration and get automatic failover, load balancing, semantic caching, and enterprise-grade governance. In sustained benchmarks at 5,000 requests per second, Bifrost adds only 11 µs of overhead per request.
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    Azure API Management
    Manage APIs across clouds and on-premises: In addition to Azure, deploy the API gateways side-by-side with the APIs hosted in other clouds and on-premises to optimize API traffic flow. Meet security and compliance requirements while enjoying a unified management experience and full observability across all internal and external APIs. Move faster with unified API management: Today's innovative enterprises are adopting API architectures to accelerate growth. Streamline your work across hybrid and multi-cloud environments with a single place for managing all your APIs. Help protect your resources: Selectively expose data and services to employees, partners, and customers by applying authentication, authorization, and usage limits.
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    AI Gateway HQ

    AI Gateway HQ

    AI Gateway HQ

    AI Gateway HQ is a hosted AI gateway and control plane for organizations connecting applications, coding agents, and automations to model providers. It provides OpenAI- and Anthropic-compatible API endpoints and routes requests through centrally managed provider credentials, model aliases, workload keys, and fallback rules. Administrators can apply identity and access policies, monitor request metadata, set organization and workload budgets, rate and concurrency limits, and review routing, usage, cost, and policy evidence. The service supports bring-your-own provider API credentials and a managed Amazon Bedrock option using prepaid credit. A browser-based console and API support configuration and governed requests; documented client setups include Codex CLI, Claude Code, and OpenCode. Teams use it to coordinate AI access, control model usage and spending, and review operational evidence across applications and environments.
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    Cloptima

    Cloptima

    Cloptima

    Cloptima is an AI and cloud FinOps platform that brings LLM spend governance, multicloud cost intelligence, Kubernetes optimization, query analysis, and engineering cost controls into one operating model. Its AI gateway lets teams use their own OpenAI, Anthropic, Gemini, Vertex AI, and Amazon Bedrock credentials behind encrypted controls, then apply virtual keys, model policies, token limits, budgets, guardrails, and attribution before calls reach providers. Spend analytics break down usage by provider, model, team, application, environment, user, agent session, tool, workflow, and dimensions, while agent controls track retries, loops, tool calls, and runaway-cost risk. Exact and semantic response caching can reduce repeated usage, and intelligent routing can shift eligible traffic to cheaper or faster models with canary rollout and rollback if quality, latency, or errors regress.
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    Myra AI Workspace

    Myra AI Workspace

    Myra Security

    Myra AI Workspace combines an AI gateway with a governed workspace for organizations using AI with sensitive data. Employees use chat, projects, knowledge sources, file imports, and document-generation tools, while administrators manage access, models, and guardrails. The gateway connects to 20+ model providers, including OpenAI, Anthropic, Gemini, Azure OpenAI, AWS Bedrock, Mistral, Groq, DeepSeek, and xAI, through one OpenAI-compatible endpoint. BYOK support lets organizations use provider contracts. A color-coded privacy indicator shows whether data stays on Myra infrastructure with open-weight models, is PII-masked before reaching external models, or requires administrator approval. Features include configurable guardrails, PII masking, tamper-evident audit logs, three-level budget controls, MCP connectors, SCIM, and SIEM forwarding. The platform runs on Myra's EU infrastructure.
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    Kong AI Gateway
    ​Kong AI Gateway is a semantic AI gateway designed to run and secure Large Language Model (LLM) traffic, enabling faster adoption of Generative AI (GenAI) through new semantic AI plugins for Kong Gateway. It allows users to easily integrate, secure, and monitor popular LLMs. The gateway enhances AI requests with semantic caching and security features, introducing advanced prompt engineering for compliance and governance. Developers can power existing AI applications written using SDKs or AI frameworks by simply changing one line of code, simplifying migration. Kong AI Gateway also offers no-code AI integrations, allowing users to transform, enrich, and augment API responses without writing code, using declarative configuration. It implements advanced prompt security by determining allowed behaviors and enables the creation of better prompts with AI templates compatible with the OpenAI interface.
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    OpenAI

    OpenAI

    OpenAI

    OpenAI’s mission is to ensure that artificial general intelligence (AGI)—by which we mean highly autonomous systems that outperform humans at most economically valuable work—benefits all of humanity. We will attempt to directly build safe and beneficial AGI, but will also consider our mission fulfilled if our work aids others to achieve this outcome. Apply our API to any language task — semantic search, summarization, sentiment analysis, content generation, translation, and more — with only a few examples or by specifying your task in English. One simple integration gives you access to our constantly-improving AI technology. Explore how you integrate with the API with these sample completions.
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    LiteLLM

    LiteLLM

    LiteLLM

    ​LiteLLM is a versatile platform designed to streamline interactions with over 100 Large Language Models (LLMs) through a unified interface. It offers both a Proxy Server (LLM Gateway) and a Python SDK, enabling developers to integrate various LLMs seamlessly into their applications. The Proxy Server facilitates centralized management, allowing for load balancing, cost tracking across projects, and consistent input/output formatting compatible with OpenAI standards. This setup supports multiple providers. It ensures robust observability by generating unique call IDs for each request, aiding in precise tracking and logging across systems. Developers can leverage pre-defined callbacks to log data using various tools. For enterprise users, LiteLLM offers advanced features like Single Sign-On (SSO), user management, and professional support through dedicated channels like Discord and Slack.
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    Spendline

    Spendline

    Spendline

    Spendline is a hosted AI gateway and cost-management tool for software companies that offer AI features in their products. It routes model requests through a gateway and records usage and cost by customer and agent, helping engineering and finance teams compare AI spend with customer revenue. Teams can set nested budgets for companies, teams, agents, and customers; configure alerts and approval workflows; and apply rules to route requests to lower-cost models. Spendline also provides usage reporting and month-end checks that compare recorded usage with provider invoices. The service supports multiple model providers and offers controls for managing AI usage across customer-facing applications.
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    Portkey

    Portkey

    Portkey.ai

    Launch production-ready apps with the LMOps stack for monitoring, model management, and more. Replace your OpenAI or other provider APIs with the Portkey endpoint. Manage prompts, engines, parameters, and versions in Portkey. Switch, test, and upgrade models with confidence! View your app performance & user level aggregate metics to optimise usage and API costs Keep your user data secure from attacks and inadvertent exposure. Get proactive alerts when things go bad. A/B test your models in the real world and deploy the best performers. We built apps on top of LLM APIs for the past 2 and a half years and realised that while building a PoC took a weekend, taking it to production & managing it was a pain! We're building Portkey to help you succeed in deploying large language models APIs in your applications. Regardless of you trying Portkey, we're always happy to help!
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    TrueFoundry

    TrueFoundry

    TrueFoundry

    TrueFoundry is a unified platform with an enterprise-grade AI Gateway - combining LLM, MCP, and Agent Gateway - to securely manage, route, and govern AI workloads across providers. Its agentic deployment platform also enables GPU-based LLM deployment along with agent deployment with best practices for scalability and efficiency. It supports on-premise and VPC installations while maintaining full compliance with SOC 2, HIPAA, and ITAR standards.
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    Unity AI Gateway
    Unity AI Gateway provides centralized governance, observability, and spend controls across enterprise AI systems, helping organizations manage agents, tools, models, MCPs, and AI frameworks from a single governed layer. It applies consistent governance across Databricks-hosted AI, external models, coding agents, agent harnesses, and other AI services without locking teams into a single provider or stack. Identity-aware policies control what agents can access, which actions they can take, and which tools they can use, while built-in, custom, and third-party guardrails enforce safety and compliance across prompts, responses, and interactions. It captures prompts, traces, tool calls, payload logs, audit logs, token usage, and policy decisions to monitor behavior, investigate incidents, and support compliance. Centralized cost controls track consumption across users, teams, applications, agents, and providers, with budgets, rate limits, and hard spend caps.
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    Vercel AI Gateway
    Vercel AI Gateway is a unified AI infrastructure platform that allows developers to access, manage, and route requests across hundreds of AI models and providers through a single API interface. Built as part of the Vercel AI ecosystem, the platform supports text, image, and video generation models from providers such as OpenAI, Anthropic, SpaceXSI, and others while simplifying authentication, billing, observability, and failover management. Developers can use one API key and centralized dashboard to integrate multiple AI providers into applications without managing separate provider accounts or infrastructure. The platform also includes built-in routing, automatic failovers, usage tracking, unified billing, and compatibility with SDKs such as the Vercel AI SDK, enabling faster development and more resilient AI-powered applications.
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    Cheaper Inference
    Cheaper Inference is an OpenAI-compatible API gateway that provides access to AI models from multiple providers through a single API key, without requiring users to change their request format. Developers can switch by replacing the provider base URL and API key while keeping the same model, messages, tools, streaming settings, and response handling. It supports text and image models, vision-capable chat requests, streaming, prompt caching, reasoning controls, and temporary image uploads for larger vision payloads. Models are selected per request, and the catalog can be filtered by type, vision, reasoning, streaming, or provider. Automatic retries handle network and provider failures, while eligible fallback routes can be tried before a request fails. Every request is visible in History, giving teams a record of request volume, token usage, and operational activity.
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    Edgee

    Edgee

    Edgee

    Edgee is an AI gateway that sits between your application and large language model providers, acting as an edge intelligence layer that compresses prompts before they reach the model to reduce token usage, lower costs, and improve latency without changing your existing code. Applications call Edgee through a single OpenAI-compatible API, and Edgee applies edge-level policies such as intelligent token compression, routing, privacy controls, retries, caching, and cost governance before forwarding requests to the selected provider, including OpenAI, Anthropic, Gemini, xAI, and Mistral. Its token compression engine removes redundant input tokens while preserving semantic intent and context, achieving up to 50% input token reduction, which is especially valuable for long contexts, RAG pipelines, and multi-turn agents. Edgee enables tagging requests with custom metadata to track usage and spending by feature, team, project, or environment, and provides cost alerts when spending spikes.
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    TensorZero

    TensorZero

    TensorZero

    TensorZero is an open source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation. It creates a feedback loop for optimizing LLM applications, turning production metrics and human feedback into smarter, faster, and cheaper models and agents. The gateway lets teams integrate once and access every major LLM provider through a single unified API, including API and self-hosted models, with support for tool use, structured outputs, batch inference, embeddings, multimodal inputs, caching, routing, retries, fallbacks, load balancing, granular timeouts, usage tracking, custom rate limits, and provider-key protection. Built for performance in Rust, TensorZero is designed for extreme throughput and low-latency production workloads while still letting teams adopt only the components they need. Its observability layer stores inferences and feedback in the user’s own database, available programmatically or through the open source UI.
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    Septor Labs

    Septor Labs

    CogniRegal Lab (OPC) Private Limited

    Septor Labs is a hosted AI gateway and model router for developers building AI agents, copilots, and LLM-powered applications. It provides a unified API for routing requests to supported models by priority, weight, active connections, or latency. Users can select a model or enable automatic model selection, turn on semantic caching, and configure API keys with individual credit budgets and optional IP allow-lists. Septor Labs supports OpenAI-style and Anthropic-style request formats, so compatible clients can connect through a shared gateway. A web console provides model and usage controls, while prepaid credits support pay-as-you-go usage. The service is intended for developers and teams integrating language-model capabilities into agents, copilots, and other software products.
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    Klique

    Klique

    Klique

    Klique is an enterprise AI control plane that helps organizations manage AI models, applications, agents, and computing resources through a unified platform. The software combines intelligent model routing, AI service governance, and GPU orchestration to optimize performance, infrastructure utilization, and operational costs. Its smart routing engine directs AI requests to appropriate models based on cost, latency, data sensitivity, and organizational policies. Centralized governance capabilities include token budgets, usage quotas, role-based permissions, single sign-on, and audit logging across AI services. Klique also supports GPU resource pooling, fractional GPU sharing, workload scheduling, and automated allocation of computing resources across cloud and on-premises infrastructure. The platform integrates with Kubernetes, cloud providers, AI model APIs, and developer tools while supporting self-hosted, hybrid, and air-gapped deployments.
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    Experiential

    Experiential

    Experiential Labs

    Experiential is an AI model gateway and inference platform for software developers and organizations building AI-enabled products or internal applications. It provides a unified API for routing requests to hosted model providers, customer-supplied provider accounts, and self-hosted or custom models, with OpenAI-compatible and Anthropic API access. Teams can manage API keys, budgets and usage limits, attribute costs to keys or agents, monitor requests, and configure provider routing and fallback behavior. The hosted service includes a free plan and paid monthly plans, while the open-source gateway can also be self-hosted. Enterprise plans add organization controls and data-residency options; paid plans also include model-optimization features, and enterprise customers can commission a model trained on their traffic. Developers can connect compatible applications and coding agents by changing their API endpoint and credentials.
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    Microsoft MCP Gateway
    Microsoft MCP Gateway is an open source reverse proxy and management layer for Model Context Protocol (MCP) servers that enables scalable, session-aware routing, lifecycle management, and centralized control of MCP services, especially in Kubernetes environments. It functions as a control plane that routes AI agent (MCP client) requests to the appropriate backend MCP servers with session affinity, dynamically handling multiple tools and endpoints under one unified gateway while ensuring authorization and observability. It lets teams deploy, update, and delete MCP servers and tools via RESTful APIs, register tool definitions, and manage these resources with access control layers such as bearer tokens and RBAC. Its architecture separates control plane management (CRUD operations on adapters/tools and metadata) from data plane routing (streamable HTTP connections and dynamic tool routing), offering features like session-aware stateful routing.
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    Lunar.dev

    Lunar.dev

    Lunar.dev

    Lunar.dev is an AI gateway and API consumption management platform that gives engineering teams a single, unified control plane to monitor, govern, secure, and optimize all outbound API and AI agent traffic, including calls to large language models, Model Context Protocol tools, and third-party services, across distributed applications and workflows. It provides real-time visibility into usage, latency, errors, and costs so teams can observe every model, API, and agent interaction live, and apply policy enforcement such as role-based access control, rate limiting, quotas, and cost guards to maintain security and compliance while preventing overuse or unexpected bills. Lunar.dev's AI Gateway centralizes control of outbound API traffic with identity-aware routing, traffic inspection, data redaction, and governance, while its MCPX gateway consolidates multiple MCP servers under one secure endpoint with full observability and permission management for AI tools.
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    ApiGo

    ApiGo

    ApiGo

    ApiGo is a hosted AI model gateway for developers and teams building applications with language models. It provides a unified API endpoint for sending requests to supported model providers, with OpenAI-compatible request formats and model selection through a shared interface. The service includes model routing and fallback configuration, API key management, request and usage logs, per-model token pricing, workspace balance controls, and dashboards for reviewing consumption. Developers can use documented setup guides to connect coding assistants and agent tools such as Cursor, Claude Code, Codex CLI, OpenCode, Kimi Code, and OpenClaw. ApiGo is intended for teams that want to manage model-provider access, usage, and billing through one hosted gateway rather than configure each provider separately.
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    Modelflare

    Modelflare

    Havenbyte, LLC

    Modelflare is a hosted AI API gateway for developers building applications, agents, and workflows that use models from multiple providers, including GPT, Claude, Gemini, Grok, and DeepSeek. It provides a shared API key and console for OpenAI-compatible chat and Responses, Anthropic Messages, and provider-specific image and video interfaces. Developers can compare models and routing groups, configure primary routes and ordered fallback groups, or use Smart API Keys to select among available routes according to a routing strategy. API keys can be separated by project and managed with controls such as quotas, expiration dates, and model or IP restrictions. The service records request-level usage, token counts, routing details, and costs, with pricing based on the selected model, group, and applicable billing unit. Documentation includes setup guides for SDKs, coding agents, plugins, and workflow tools.
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    Concentrate AI

    Concentrate AI

    Concentrate AI

    Concentrate AI is the LLM gateway for fast-growing teams, one API for every major LLM provider, with routing, spend, logs, and controls in one place. It helps teams securely access, use, and manage AI through a single API, so every request can find the smarter, faster, cheaper model for the workflow or task. Teams can access 130+ models, benchmark speed, quality, and cost, and route each workload to the best fit without wiring separate provider APIs into every environment. Support bots, coding agents, internal tools, chat, and batch jobs do not need the same model or the same route, so Concentrate lets teams pick a model slug, limit allowed providers, sort by live latency, use fallbacks, and reroute traffic when a provider slows down, errors, or hits a rate limit. It also gives engineering, finance, security, and leadership a shared view of AI usage with request-level logs, models, provider, duration, token counts, spend, error rates, alerts, and exports.
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    ModelLane

    ModelLane

    Galadriel Labs

    ModelLane is an AI inference gateway and routing control plane for developers and organizations using multiple language-model providers. It offers an OpenAI-compatible API for sending requests to hosted, private, or self-hosted models. Teams can define routing policies (“Lanes”) by cost, latency, availability, data retention, and region, with provider failover, retries, credential isolation, and route-level usage and spend visibility. Documented connectors include OpenAI, Anthropic, Google, Mistral, Groq, and DeepSeek, plus local serving tools such as Ollama and vLLM. An MCP interface exposes model-layer operations. Use cases include consolidating provider APIs, choosing routes for different workloads, maintaining continuity when a provider is unavailable, and monitoring inference activity. Deployment options include hosted service, dedicated deployment, and a customer VPC.
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    ML Junction

    ML Junction

    ML Junction

    ML Junction gives developers a consistent API for working with multiple AI model providers. It supports OpenAI and Anthropic SDK compatibility, capability-aware routing, retries and fallback, and request-level cost and privacy controls. Its per-request receipts explain which route was selected, the alternatives considered, the policies enforced and the final cost. ML Junction also supports model evaluations, agent observability, and a native LangChain integration. Pricing is usage-based on prepaid credits: provider rates at cost plus one routing fee, or bring your own provider keys. It is designed for teams building AI applications.
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    AI Gateway for IBM API Connect
    ​IBM's AI Gateway for API Connect provides a centralized point of control for organizations to access AI services via public APIs, securely connecting various applications to third-party AI APIs both within and outside the organization's infrastructure. It acts as a gatekeeper, managing the flow of data and instructions between components. The AI Gateway offers policies to centrally manage and control the use of AI APIs with applications, along with key analytics and insights to facilitate faster decision-making regarding Large Language Model (LLM) choices. A guided wizard simplifies configuration, enabling developers to gain self-service access to enterprise AI APIs, thereby accelerating the adoption of generative AI responsibly. To prevent unexpected or excessive costs, the AI Gateway allows for limiting request rates within specified durations and caching AI responses. Built-in analytics and dashboards provide visibility into the enterprise-wide use of AI APIs.
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    TrustedRouter

    TrustedRouter

    TrustedRouter

    TrustedRouter is a privacy-first AI gateway that gives developers access to 600+ AI models from 90+ providers through one OpenAI-compatible API. It routes requests through an attested gateway that does not log prompt or output content, keeping the production prompt path separate from the dashboard and billing control plane so even its engineers cannot read requests. Developers can keep the OpenAI SDK and migrate by changing a single base URL, while choosing direct model IDs or routing aliases for healthy-provider rollover, zero-retention providers, confidential compute, EU-focused routing, and multi-model synthesis. Provider failover, regional routing, and continuous model health measurements help prevent a single upstream outage from becoming a product outage. TrustedRouter runs across GCP, AWS, and Azure and publishes latency, availability, source code, deployment infrastructure, SDKs, and trust evidence for inspection.
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    Jectora

    Jectora

    Jectora

    Jectora is an OpenAI-compatible AI gateway built for organizations. One API (the Jectora API base URL) routes requests across models from multiple providers with smart routing, hardware-aware inference optimization, and intelligent caching for lower cost and latency. Keep the official OpenAI JavaScript or Python SDK: set the Jectora base URL and API key, then choose a model by ID. Chat Completions, Responses, Embeddings, and model discovery are supported; capabilities vary by model. Organization workspaces separate API keys, balance, usage, and billing. Scope each key by model, spend, expiration, or source IP. The Dashboard shows spend, requests, and tokens. Pricing is pay as you go: $0 monthly fee, no minimum spend, prepaid credits with no fixed expiration while active, and no subscription, platform fee, or long-term commitment. Unit prices are in the model catalog (USD per 1M tokens for token-based models). Sign in with GitHub. Docs and support are on the Jectora website.
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    OwlVigil

    OwlVigil

    Syrovex

    OwlVigil is a cloud-based AI gateway and governance platform for developers, AI product teams, and organizations coordinating multiple model providers. It routes AI requests through a unified endpoint and lets teams connect providers, issue scoped gateway keys, manage access, and apply routing and policy rules. Administrators can set workspace, team, member, or key budgets; restrict models and providers; and monitor requests, tokens, usage, latency, and spending. Role-based permissions, audit logs, alerts, and request analytics help teams review AI activity across workspaces and departments. The gateway accepts OpenAI-compatible requests, allowing teams to connect existing applications through a shared interface. OwlVigil is offered as a hosted service with an individual free plan and paid team and business plans, plus custom enterprise plans.
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    boldrouter

    boldrouter

    Cybrient Technologies

    boldrouter is a hosted AI gateway for developers and teams building applications with large language models. It provides an OpenAI-compatible API and a unified endpoint for routing requests across model providers, with automatic selection and failover based on price, latency, or provider health. Teams can use prepaid credits or connect their own provider keys, manage API keys and spending limits, and review token, model, and latency usage in a dashboard. Additional capabilities include streaming, tool calls, multimodal requests, embeddings, document text extraction, model consensus and evaluation, and optional prompt anonymization that redacts personal data before forwarding requests. The Swiss-hosted service supports application, SaaS, agent, and developer-tool workflows that need access to multiple AI models.
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    Kilo Gateway
    Kilo Gateway is a universal AI inference gateway that routes LLM requests to any provider through one standardized endpoint, giving developers access to hundreds of hosted and open models without rewriting their applications for each provider. It provides unified access to models from Anthropic, OpenAI, Mistral, and other providers, while also supporting bring-your-own-key configurations that let teams connect existing provider credentials through centralized infrastructure. The gateway is compatible with standard AI SDKs, making it possible to switch providers while keeping the same integration surface. Its infrastructure handles routing complexity and load balancing across direct providers and external gateways to improve availability and resilience. Auto Model can route each request to the best available model while keeping routing decisions, model behavior, and usage visible and controllable.
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    VibeSDK

    VibeSDK

    Cloudflare

    Cloudflare has released VibeSDK, a full-stack, open source vibe coding platform that you can deploy with one click to host your own AI-powered application builder. The platform integrates LLMs (via an AI Gateway) to generate, debug, and iterate code in real time; provides isolated, secure sandboxes (or container-based environments) per user session for executing untrusted code; offers live previews and streaming logs to help users test and troubleshoot as they build; and uses workers for platforms to deploy each generated app at scale, with isolation between tenants. VibeSDK includes project templates, support for export to GitHub or a user’s Cloudflare account, cost and performance observability, caching for repeated requests, and multi-model support through routing across AI providers. It is designed to let teams offer internal or customer-facing “no-code/low-code” platforms, letting non-programmers spin up landing pages, prototypes, or applications from natural language prompts.
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    FastRouter

    FastRouter

    FastRouter

    FastRouter is a unified API gateway that enables AI applications to access many large language, image, and audio models (like GPT-5, Claude 4 Opus, Gemini 2.5 Pro, Grok 4, etc.) through a single OpenAI-compatible endpoint. It features automatic routing, which dynamically picks the optimal model per request based on factors like cost, latency, and output quality. It supports massive scale (no imposed QPS limits) and ensures high availability via instant failover across model providers. FastRouter also includes cost control and governance tools to set budgets, rate limits, and model permissions per API key or project, and it delivers real-time analytics on token usage, request counts, and spending trends. The integration process is minimal; you simply swap your OpenAI base URL to FastRouter’s endpoint and configure preferences in the dashboard; the routing, optimization, and failover functions then run transparently.
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    BaronRouter

    BaronRouter

    BaronRouter

    BaronRouter is an AI gateway and chat platform that brings many leading AI models and providers into one unified interface. Users can chat with different models, compare responses side by side, save prompts, create projects, use public personas, upload files, and keep conversation history in one place. BaronRouter is built around reliability and model choice. Its smart router can select a suitable model for a task, while automatic retry and fallback help keep conversations working when a provider is rate-limited, unavailable, or fails. The platform also includes persistent memory, shared workspaces, prompt and persona galleries, model performance stats, admin controls, usage analytics, and an OpenAI-compatible public API for developers. Developers can call BaronRouter through standard OpenAI SDK clients, including support for public persona endpoints such as persona-based chat completions.
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    Ramp Router
    Router is an LLM gateway built to reduce inference costs by matching each request to the lowest-cost model that still meets performance needs. It provides one endpoint and one API key for accessing multiple closed and open-source AI models from providers such as OpenAI, Anthropic, Grok, Fireworks, and others, helping developers avoid wiring applications to providers one at a time. Requests go through Router first, where usage, model, provider, and cost can be tracked before eligible workloads are routed to a more efficient option when quality will not be affected. Router Strategies let developers define cost and performance priorities for different types of requests or use benchmarked defaults based on real production workloads. It responds to live latency, availability, failures, and rate limits, and eligible requests can be moved to another available model when a provider cannot serve them.
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    Token360

    Token360

    Token360

    Token360 is a unified AI gateway for business: a single OpenAI-compatible API that provides access to 80+ frontier AI models across text, image, audio, and video generation — including Seedance 2.5, Seedream 5.0 Pro, Kling, Veo 3.1, Claude, GPT, and Gemini. Teams integrate once and switch models with a parameter change; smart routing with automatic provider fallback keeps requests flowing when an upstream provider degrades. Pricing is pay-as-you-go at published per-model list prices. Token360 is an official ByteDance partner for the Seedance video generation model. Typical uses include adding video or image generation to existing products, evaluating language models side by side, and consolidating billing and quota management across AI providers. An interactive playground and developer documentation help teams make a first API call within minutes.
    Starting Price: Pay-as-you-go (usage-based)
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    LLM Gateway

    LLM Gateway

    LLM Gateway

    LLM Gateway is a fully open source, unified API gateway that lets you route, manage, and analyze requests to any large language model provider, OpenAI, Anthropic, Gemini Enterprise Agent Platform, and more, using a single, OpenAI-compatible endpoint. It offers multi-provider support with seamless migration and integration, dynamic model orchestration that routes each request to the optimal engine, and comprehensive usage analytics to track requests, token consumption, response times, and costs in real time. Built-in performance monitoring lets you compare models’ accuracy and cost-effectiveness, while secure key management centralizes API credentials under role-based controls. You can deploy LLM Gateway on your own infrastructure under the MIT license or use the hosted service as a progressive web app, and simple integration means you only need to change your API base URL, your existing code in any language or framework (cURL, Python, TypeScript, Go, etc.)
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    Peta

    Peta

    Peta

    Peta is an enterprise-grade control plane for the Model Context Protocol (MCP) that centralizes, secures, governs, and monitors how AI clients and agents access external tools, data, and APIs. It combines a zero-trust MCP gateway, secure vault, managed runtime, policy engine, human-in-the-loop approvals, and full audit logging into a single platform so organizations can enforce fine-grained access control, hide raw credentials, and track every tool call made by AI systems. Peta Core acts as a secure vault and gateway that encrypts credentials, issues short-lived service tokens, validates identity and policies on each request, orchestrates MCP server lifecycle with lazy loading and auto-recovery, and injects credentials at runtime without exposing them to agents. The Peta Console lets teams define who or which agents can access specific MCP tools in specific environments, set approval requirements, manage tokens, and analyze usage and costs.
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    Obot MCP Gateway
    Obot is an open-source AI infrastructure platform and Model Context Protocol (MCP) gateway that gives organizations a centralized control plane for discovering, onboarding, managing, securing, and scaling MCP servers, services that connect large language models and AI agents to enterprise systems, tools, and data. It bundles an MCP gateway, catalog, admin console, and optional built-in chat interface into a modern interface that integrates with identity providers (e.g., Okta, Google, GitHub) to enforce access control, authentication, and governance policies across MCP endpoints, ensuring secure, compliant AI interactions. Obot lets IT teams host local or remote MCP servers, proxy access through a secure gateway, define fine-grained user permissions, log and audit usage, and generate connection URLs for LLM clients such as Claude Desktop, Cursor, VS Code, or custom agents.
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    BetterToken

    BetterToken

    BetterToken

    BetterToken is a hosted LLM API gateway that provides API access to models from providers including Anthropic, OpenAI, Moonshot, Z.ai, DeepSeek, Alibaba Cloud and MiniMax through BetterToken account keys. It offers OpenAI-compatible and Anthropic-compatible endpoints, with a Responses-compatible setup for Codex, and lets developers connect coding tools, applications, agents and automation workflows using a custom base URL. Users can choose models from a live catalog, view token usage and request charges in the workspace, and pay through prepaid balance or monthly quota plans. Model costs vary by input, output and supported cached or media tokens. Setup guides cover tools such as Claude Code, Codex, Cursor, Dify and n8n. BetterToken is intended for developers and teams integrating hosted language models into software and automated workflows.
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    RouteMux

    RouteMux

    RouteMux

    RouteMux is an AI gateway for developers building applications with models from multiple providers. It offers a unified API key and compatible endpoints for OpenAI, Anthropic and Vertex-style requests, allowing applications to connect to a catalog of AI models through a common interface. Developers can use RouteMux to route requests across supported models and manage usage from one service rather than integrating each provider separately. The service uses pay-as-you-go billing, with charges applied to successful requests according to the applicable model and provider rates. RouteMux is intended for teams that want to add or switch among AI models while keeping their application’s connection pattern consistent. Availability, model support and billing conditions may vary by provider and model.
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    Cloudflare Vectorize
    Begin building for free in minutes. Vectorize enables fast & cost-effective vector storage to power your search & AI Retrieval Augmented Generation (RAG) applications. Avoid tool sprawl & reduce total cost of ownership, Vectorize seamlessly integrates with Cloudflare’s AI developer platform and AI gateway for centralized development, monitoring & control of AI applications on a global scale. Vectorize is a globally distributed vector database that enables you to build full-stack, AI-powered applications with Cloudflare Workers AI. Vectorize makes querying embeddings, representations of values or objects like text, images, and audio that are designed to be consumed by machine learning models and semantic search algorithms, faster, easier, and more affordable. Search, similarity, recommendation, classification & anomaly detection based on your own data. Improved results & faster search. String, number & boolean types are supported.
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    SuperBased

    SuperBased

    SuperBased

    SuperBased is a local-first control plane for AI coding agents that lets developers see, control, and right-size agent activity from one binary running on their own machine. It reads native session data from 40 coding tools without requiring a proxy, SDK rewrite, or special configuration, supporting agents such as Claude Code, Codex, Cursor, GitHub Copilot, OpenCode, Gemini CLI, Kilo Code, Qwen Code, Aider, Devin, and others. The dashboard tracks provider-reported token usage, cache reads and writes, costs, sessions, and projected next-message spend across tools that normally keep their data separate. Developers can also launch more than 20 CLI agents as terminal sessions, monitor several repositories from one screen, attach to a running agent, take over the keyboard, and hand control back when needed. Model routing helps teams match tasks to appropriate models, while egress gates can hold commands before execution so users can stop or redirect costly or risky actions.
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    LunaRoute

    LunaRoute

    LunaRoute

    LunaRoute is a hosted AI inference gateway and API for developers and teams running coding agents, personal agents, applications, and automations. It routes requests to a curated catalog of open-weight models through OpenAI-compatible and Anthropic-compatible endpoints, with a command-line client and setup guides for connecting coding tools and agent frameworks. Plans provide priority concurrent inference capacity, overflow handling, model access, API keys, usage reporting, and team controls depending on the plan. An optional hosted MCP server provides web search, document conversion with OCR, and image generation and editing. Enterprise offerings add dedicated deployment options, custom routing, and policy controls. LunaRoute is intended for software developers and engineering teams seeking a managed way to connect existing AI clients to model inference.
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    Cloudflare MCP Server Portals
    Cloudflare MCP Server Portals is a cloud-hosted access layer for organizations using Model Context Protocol (MCP) servers with AI clients. It brings approved remote MCP servers behind a single HTTP endpoint protected by Cloudflare Access, allowing administrators to apply identity-based policies and manage server availability. Administrators can choose which tools and prompts each portal exposes and route requests through Cloudflare Gateway for HTTP logging and data loss prevention inspection. The portal supports OAuth and service-token authentication; Access records tool, prompt, and resource activity. Users connect through MCP clients such as Claude Desktop, Workers AI Playground, OpenCode, or Windsurf. It serves IT and security teams managing internal or SaaS MCP services and authorized employees or agents. Only remote HTTP servers are supported; local stdio-only servers require a separate HTTP endpoint.