Alternatives to LowRouter
Compare LowRouter alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to LowRouter in 2026. Compare features, ratings, user reviews, pricing, and more from LowRouter competitors and alternatives in order to make an informed decision for your business.
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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.Starting Price: Free -
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OrcaRouter
OrcaRouter
OrcaRouter is an OpenAI-compatible AI model router that sends each prompt to the right model across OpenAI, Anthropic, Gemini, DeepSeek, Qwen, Kimi, and 200+ frontier and open source models. It is built to preserve frontier answer quality while reducing AI inference spend by grading every prompt and routing hard reasoning to frontier models and routine work to lower-cost open source models. The routing is quality-graded, never a blind, cheap-model swap, and each request shows the difficulty grade, selected model, provider, and cost so routes are visible, auditable, and reproducible. Developers can switch by changing the API base URL, while existing SDKs, model names, and streaming behavior continue to work as before. OrcaRouter supports automatic failover, so if a provider goes down mid-stream, traffic can switch transparently, and the application avoids user-facing errors. It also includes API key management with spend caps, model allowlists, rate limits, budget enforcement, and more.Starting Price: $29 per month -
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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.Starting Price: $0.01 per million tokens -
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UnoRouter
UnoRouter
UnoRouter is an OpenAI-compatible LLM gateway. One API key gives you 200+ models across providers (OpenAI, Anthropic, Google and more), drop-in for coding agents like Claude Code, Cline, Codex and Kilo Code. Point any OpenAI SDK at the base URL and switch models without changing code. UnoRouter also includes a built-in chat and character client (personas, lorebooks, SillyTavern card import) on the same key. Usage-based pricing with a free tier, live model and price data.Starting Price: Free tier, usage-based -
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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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Factory Router
Factory Router
Factory Router is an automatic model-selection system for autonomous software engineering workflows, designed to deliver frontier performance at lower cost and with higher reliability. Instead of expecting engineers to manually choose the best model for every task, Factory Router automatically selects the right model for each Droid session, drawing from a diverse pool of frontier and efficient models. Simple questions, mechanical refactors, documentation updates, small bug fixes, search-heavy investigations, and other routine work can be handled by efficient models, while harder work that genuinely needs deeper reasoning can stay on frontier models. If the selected model struggles to complete a task, Factory Router can move the session to a more capable model to reliably preserve high-quality outcomes. It also routes across models, providers, and capacity sources when endpoints degrade, rate limits hit, or capacity becomes constrained, helping Droid sessions keep working.Starting Price: Free -
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AnonRouter
AnonRouter
AnonRouter is a hosted AI model router and API for developers building AI applications. It provides one OpenAI-compatible endpoint for accessing models from multiple providers, with a model catalog, per-model pricing and privacy labels, routing, and automatic failover. Developers can connect compatible clients by configuring the endpoint and an API key, or use the browser-based Chat and Studio for text, image, and speech models. Requests are billed from prepaid credits, with usage priced by model and additional fees on credit purchases. Depending on the selected model and provider, requests may use standard processing, private handling, a trusted execution environment, or end-to-end encryption where available. AnonRouter is designed for developers, AI teams, and individual users who want to build, connect, or test applications with multiple AI models through a shared interface.Starting Price: $0 -
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flo2
Data Products LLP
flo2 is an LLM gateway and router that provides access to major AI model providers (OpenAI, Anthropic, Groq, Cerebras, DeepInfra) through one unified, OpenAI-compatible API. Smart routing picks the cheapest or fastest model per request. Automatic fallback keeps applications running when a provider goes down. Racing mode runs requests across providers in parallel. Full cost accounting per request, per model, per project. Developers use their own provider keys via flo2.com — RapidAPI's testing tier includes free tokens for evaluation.Starting Price: 0 -
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Ramp Router
Ramp
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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Not Diamond
Not Diamond
Call the right model at the right time with the world's most powerful AI model router. Make the most of every model with relentless precision and speed. Not Diamond works out of the box with no setup, or train your own custom router with your evaluation data and benefit from model routing optimized to your use case. Select the right model in less time than it takes to stream a single token. Efficiently leverage faster and cheaper models without degrading quality. Program the best prompt for each LLM so you always call the right model with the right prompt. No more manual tweaking and experimentation. Not Diamond is not a proxy and all requests are made client-side. Enable fuzzy hashing on our API or deploy directly to your infra for maximum security. For any input, Not Diamond automatically determines which model is best suited to respond, delivering a state-of-the-art performance that beats every foundation model on every major benchmark.Starting Price: $100 per month -
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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.Starting Price: $10/month -
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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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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.Starting Price: Free -
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Martian
Martian
By using the best-performing model for each request, we can achieve higher performance than any single model. Martian outperforms GPT-4 across OpenAI's evals (open/evals). We turn opaque black boxes into interpretable representations. Our router is the first tool built on top of our model mapping method. We are developing many other applications of model mapping including turning transformers from indecipherable matrices into human-readable programs. If a company experiences an outage or high latency period, automatically reroute to other providers so your customers never experience any issues. Determine how much you could save by using the Martian Model Router with our interactive cost calculator. Input your number of users, tokens per session, and sessions per month, and specify your cost/quality tradeoff. -
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RouteAI
RouteAI
RouteAI is an AI API routing platform that helps developers and enterprises reduce inference costs while maintaining speed, reliability, and model flexibility. The platform provides one OpenAI-compatible API for accessing multiple mainstream AI models through global routing infrastructure. Developers can migrate existing OpenAI-based integrations by changing the base URL and using their RouteAI API key. RouteAI supports intelligent routing, load balancing, global edge nodes, real-time monitoring, API key permissions, alerts, and enterprise-grade security. The platform also provides SDK support, documentation, online debugging tools, and examples for languages such as Python, Node.js, Java, Go, and C#. Built for teams running production AI workloads, RouteAI helps simplify model access, lower infrastructure complexity, and deliver faster AI responses through one unified API. -
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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.)Starting Price: $50 per month -
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SeedRouter
SeedRouter
SeedRouter is a usage-based API platform for accessing image, video, language, and audio AI models through one API key and prepaid balance. It provides OpenAI-compatible endpoints for language models and asynchronous task APIs for media generation. Developers can manage keys, monitor request status, and review model-level usage and costs in a dashboard. SeedRouter is designed for developers and product teams integrating multiple AI model families into applications.Starting Price: $0.00425/image -
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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.Starting Price: $0/month -
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NCS 5700 line cards and routers bring scalability and flexibility to provider networks. Integrated Segment Routing supports performance-based service offerings and high-density 400G ports provide long-term network growth. Scale with demand with flexible port configurations from 10G to 400G and available 3.6, 4.8, 7.2 or 9.6 Tbps per slot line cards. Converge all services onto a single infrastructure and use Segment Routing for end-to-end granular traffic control that delivers the best client experience. With backward compatibility, a flexible pay-as-you-grow model, and IOS XR throughout the network, this platform offers long-term growth that scales with demand and protects investment. Power efficiency and scalability with a carrier-grade network operating system to rightsize the network footprint and lower your carbon impact.
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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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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.Starting Price: 5.5% per top-up -
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Tuning Engines
CerebrixOS
Tuning Engines is a unified AI control and governance layer for teams building production intelligence across models, agents, tools, and fine-tuned systems. It brings together the full AI lifecycle in one governed platform: inference, model routing, fallback policies, fine-tuning jobs, datasets, evaluations, model imports and exports, custom models, agents, MCP servers, reusable skills, guardrails, AGT YAML policies, data capture, runtime traces, usage analytics, API keys, billing, team roles, and integrations. Developers get OpenAI-compatible APIs, Anthropic-compatible routes, CLI workflows, MCP access, coding-agent integrations, and resource catalogs for models, agents, tools, and skills. Teams can connect Claude Code, OpenCode, Aider, Cline, Roo, Continue.dev, Cursor, VS Code, Windsurf, and other AI workflows through a single governed platform. -
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Kilo Gateway
Kilo
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.Starting Price: $19 per month -
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Vercel AI Gateway
Vercel
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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Spawn
OpenRouter
Spawn is an experimental OpenRouter tool for deploying AI coding agents on your own infrastructure with a single command. Pick an agent, choose a cloud, and Spawn provisions a virtual machine, installs the agent and its dependencies, authenticates to OpenRouter and the cloud using a CLI OAuth flow, configures endpoints and model routing, and then opens an SSH session so you can start working. Each agent-and-cloud combination is implemented as a self-contained script, avoiding Terraform and YAML while keeping deployment portable. Supported agents include Claude Code, OpenClaw, Codex CLI, OpenCode, Kilo Code, Hermes Agent, Junie, Pi, Cursor CLI, and T3 Code, making it easy to explore coding-agent workflows or switch between them with one command. Spawn supports cloud environments such as DigitalOcean, Sprite, Hetzner Cloud, AWS Lightsail, GCP Compute Engine, and Daytona, as well as a local machine or a throwaway local Docker sandbox. -
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PromptUnit
PromptUnit
PromptUnit cuts your AI API bill without hurting answer quality. Inferio, the engine inside PromptUnit, checks every request your app or agent sends. When a cheaper model is just as good for that request, it uses it; otherwise the request goes to the model you asked for. If you connect keys for more than one provider, the cheaper model can be at another of them. Setup is two settings: point your AI API address at PromptUnit and add your PromptUnit key. Your own provider keys stay yours. Works with OpenAI, Anthropic, Google Gemini, Groq and DeepSeek keys, and with your own OpenRouter key, plus tools like n8n, Open WebUI, LibreChat and Dify. The dashboard shows every request: the model asked for, the model that answered, what it cost and what it saved. It also groups requests into the steps of your app and shows what each step costs. Pricing: the first $5 of savings is free, then 20% of what PromptUnit saves you, billed weekly. Nothing if it saves nothing.Starting Price: Free -
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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.Starting Price: $0/month -
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Unify AI
Unify AI
Explore the power of choosing the right LLM for your needs and how to optimize for quality, speed, and cost-efficiency. Access all LLMs across all providers with a single API key and a standard API. Setup your own cost, latency, and output speed constraints. Define a custom quality metric. Personalize your router for your requirements. Systematically send your queries to the fastest provider, based on the very latest benchmark data for your region of the world, refreshed every 10 minutes. Get started with Unify with our dedicated walkthrough. Discover the features you already have access to and our upcoming roadmap. Just create a Unify account to access all models from all supported providers with a single API key. Our router balances output quality, speed, and cost based on user-specific preferences. The quality is predicted ahead of time using a neural scoring function, which predicts how good each model would be at responding to a given prompt.Starting Price: $1 per credit -
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Substrate
Substrate
Substrate is the platform for agentic AI. Elegant abstractions and high-performance components, optimized models, vector database, code interpreter, and model router. Substrate is the only compute engine designed to run multi-step AI workloads. Describe your task by connecting components and let Substrate run it as fast as possible. We analyze your workload as a directed acyclic graph and optimize the graph, for example, merging nodes that can be run in a batch. The Substrate inference engine automatically schedules your workflow graph with optimized parallelism, reducing the complexity of chaining multiple inference APIs. No more async programming, just connect nodes and let Substrate parallelize your workload. Our infrastructure guarantees your entire workload runs in the same cluster, often on the same machine. You won’t spend fractions of a second per task on unnecessary data roundtrips and cross-region HTTP transport.Starting Price: $30 per month -
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RouteLLM
LMSYS
Developed by LM-SYS, RouteLLM is an open-source toolkit that allows users to route tasks between different large language models to improve efficiency and manage resources. It supports strategy-based routing, helping developers balance speed, accuracy, and cost by selecting the best model for each input dynamically. -
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6WIND VSR is a product line comprising of various high-performance and scalable virtualized software routers optimized for CSPs, MNOs and Enterprises. They can be deployed bare-metal, virtualized, or containerized on COTS servers in private and public clouds. Our VSR solutions are based on the 6WIND core technology (6WNOS), and can reduce your carbon footprint by lowering your energy consumption by more than 50%. 6WIND VSR product suite comprises of vPE, vCSR, vSecGW, vCGNAT, vBorderRouter & vCPE Virtual Router Solutions, delivering: End to End Security, Reliability & Flexibility, Increased Deployment Agility, Optimized use of Resources, Highly Cost Effective. The 6WIND VSR Product Suite has demonstrated its ability to conserve energy and reduce carbon footprint. These solutions offer high performance, security, scalability, flexibility, openness, and agility to global CSPs, MNOs, Cloud Providers, Data Centers, and Enterprises.
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RouterBase
RouterBase
RouterBase is a unified API gateway that gives developers and teams access to 200+ AI models, including GPT, Claude, Gemini, Llama, Mistral and DeepSeek, through a single OpenAI-compatible endpoint. Instead of maintaining separate keys and billing for each provider, you switch models with one line of configuration. RouterBase adds smart routing, automatic failover across providers, and unified billing, so your application keeps running even when an upstream provider has an outage. A free tier is available with no credit card required.Starting Price: $0 -
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Kimchi
Kimchi
Kimchi is a centralized gateway for managing SaaS and self-hosted AI models, built to help teams deploy, route, optimize, and scale LLM infrastructure without changing the developer workflow. It gives organizations one control layer for AI coding agents, open-source models, commercial models, and internal inference, allowing teams to combine lower-cost OSS models with higher-tier providers such as Claude, OpenAI, Gemini, and others when the task requires it. Kimchi focuses on reducing LLM cost while making development more autonomous, with fast model routing, coding-oriented inference, MCP integration, multi-agent workflows, interchangeable OSS and commercial models, and low-friction local setup. It supports running the Kimchi coding agent across teams, giving engineering organizations broader access to AI coding while preserving team-wide usage attribution, cost visibility, and operational control.Starting Price: Free -
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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.Starting Price: $499/month -
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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.Starting Price: $0.10/1M input tokens -
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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.Starting Price: $5 -
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discode.ai
discode.ai
discode is an AI chat platform built around one input field, 100+ AI models, and automatic model selection, so users choose the rhythm, not the algorithm. Instead of juggling multiple subscriptions, tabs, benchmarks, and provider limits, users ask a question and discode picks the right model for the job. Every request is analyzed by topic, complexity, and language, then routed to the best available model based on quality, speed, sustainability, and the user’s own settings. Light tasks can go to fast, resource-efficient models, while harder tasks can be sent to specialist or frontier models when needed. discode also explains which model was chosen and why, keeping routing transparent instead of turning it into a black box. Its Turntables let users weigh what matters most, such as smarter output, faster answers, or better eco impact, while Smart Prompting quietly optimizes prompts in the background for different model families and domains. -
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Weave
Weave
Weave is an engineering intelligence and AI observability platform designed to help software organizations measure developer productivity, AI usage, code quality, and return on AI spending. The platform analyzes activity from prompts through production and combines AI-specific metrics with frameworks such as DORA, SPACE, surveys, pull requests, deployments, and engineering telemetry. Its token intelligence capabilities show where AI spending occurs across models and tools while benchmarking cost, efficiency, and quality against other engineering organizations. Weave Router classifies prompts and routes them to an appropriate AI model based on factors such as cost, speed, and expected quality. The platform also includes Wooly, an AI engineering agent that analyzes connected organizational data and provides recommendations with citations to underlying records. -
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OpenRouter Model Fusion
OpenRouter
OpenRouter Fusion turns a prompt into a small multi-model deliberation, making combined model results as easy to call as a single model. A panel of expert models analyzes the prompt in parallel with web search and web fetch enabled, then a judge model compares their responses and returns structured analysis that includes consensus, contradictions, partial coverage, unique insights, and blind spots. The final answer is written from that analysis, helping users benefit from multiple perspectives rather than relying on one model alone. Fusion is built for cases where a single model is not enough, such as research, expert critique, compare-and-contrast prompts, multi-domain questions, or any task where being wrong is expensive. Users can call Fusion directly through the openrouter/fusion model alias, enable it as the fusion server tool, or configure it through the Fusion plugin; all three entry points use the same pipeline.Starting Price: Free -
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TensorBlock
TensorBlock
TensorBlock is an open source AI infrastructure platform designed to democratize access to large language models through two complementary components. It has a self-hosted, privacy-first API gateway that unifies connections to any LLM provider under a single, OpenAI-compatible endpoint, with encrypted key management, dynamic model routing, usage analytics, and cost-optimized orchestration. TensorBlock Studio delivers a lightweight, developer-friendly multi-LLM interaction workspace featuring a plugin-based UI, extensible prompt workflows, real-time conversation history, and integrated natural-language APIs for seamless prompt engineering and model comparison. Built on a modular, scalable architecture and guided by principles of openness, composability, and fairness, TensorBlock enables organizations to experiment, deploy, and manage AI agents with full control and minimal infrastructure overhead.Starting Price: Free -
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BriteWorks
BriteSoft
BriteWorks provides a direct mapping of the requirements model – the “WHAT”- to the application model. This results in a high level of transparency while eliminating errors and tedious steps. BriteWorks provides the infrastructure, so developers can focus on the business functionality and avoid the menial task of coding that drowns the development effort. The loaded rates can drive the BriteRouter module to derive the optimal routes to each destination. With this information, the switches can be updated to reflect the optimal routes negotiated with interconnect partners, which will save on cost and increase revenue. Manual processes mean that routes cannot be updated regularly and negotiated rates may not be implemented in the switches properly, at least when it comes to minimum volume commitments. -
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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.Starting Price: $500/month -
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RelaySwitch
Uplink Switch
RelaySwitch is a hosted AI model API gateway for developers who want to call models from multiple providers through a shared endpoint and account. It exposes an OpenAI-compatible API and supports the Anthropic Messages format for Claude models, allowing compatible SDKs and developer tools to connect by changing the base URL and API key. Its catalog covers chat, image, video, speech and 3D models, with model identifiers and token rates. Usage is billed from a prepaid USD balance; input and output rates are listed separately, and cached input may cost less where supported. Customers can add funds through supported card and digital-asset payment methods, without a monthly subscription. RelaySwitch is intended for developers and teams building applications and agents with hosted AI models, and provides API documentation, model listings and setup guides for supported SDKs and tools.Starting Price: $10 prepaid -
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Juniper Cloud-Native Router
Juniper Networks
The Cloud-Native Router takes full advantage of container economics and operational efficiencies, giving service providers the flexibility they need to deploy 5G. The performant, software-based router combines Juniper’s proven routing technology, the Junos OS containerized routing protocol daemon (cRPD), and Contrail vRouter DPDK forwarding plane for x86 processors. It integrates seamlessly with the Kubernetes Container Network Interface (CNI) framework. The router complements Juniper’s physical routers with advanced networking features for cloud-native environments where space, power, and cooling are limited. Based on the same Junos OS routing technology, hybrid physical and virtual networks provide a single experience end to end. The Cloud-Native Router is a key component in the 5G Distributed Radio Access Network (D-RAN) and in 5G Core data centers hosted in hyper scaler cloud environments. -
45
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.Starting Price: Free -
46
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. -
47
Sudo
Sudo
Sudo offers “one API for all models”, a unified interface so developers can integrate multiple large language models and generative AI tools (for text, image, audio) through a single endpoint. It handles routing between different models to optimize for things like latency, throughput, cost, or whatever criteria you choose. The platform supports flexible billing and monetization options; subscription tiers, usage-based metered billing, or hybrids. It also supports in-context AI-native ads (you can insert context-aware ads into AI outputs, controlling relevance and frequency). Onboarding is quick: you create an API key, install their SDK (Python or TypeScript), and start making calls to the AI endpoints. They emphasize low latency (“optimized for real-time AI”), better throughput compared with some alternatives, and avoiding vendor lock-in. -
48
Zerouter
Zerouter
Zerouter is an OpenRouter-style API gateway for coding agents. Point Claude Code, Codex CLI or Cursor at the Zerouter API, keep your prompts and tools unchanged, and call Claude, GPT, Gemini, Grok and Kimi with one key. Requests go to official model APIs with no silent model swaps; usage is billed per token with published rates (frontier models up to ~93% below list). Pay-as-you-go, no subscription.Starting Price: $0.023/1M input tokens -
49
Pioneer
Pioneer.ai
Pioneer is an inference API built for developers who would rather ship than babysit a GPU cluster. It lets teams point an existing OpenAI, Anthropic, or other client at Pioneer, keep the same API and code, and run inference like normal while Pioneer finds where the current model falls short. It clusters production traffic by use case, surfaces where accuracy, latency, or cost can improve, then builds and routes to small specialist models automatically. Its continuous improvement loop, Adaptive Inference, mines live production failures for high-signal examples, retrains a specialist model, evaluates the new checkpoint, and promotes improvements behind the same endpoint without requiring redeployment. Pioneer supports encoder models for structured extraction tasks such as named entity recognition, text classification, structured JSON extraction, privacy filtering, and safety classification, as well as decoder models for text generation, classification, open-ended prompting, etc. -
50
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.Starting Price: $5 per month
