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OpenRouter

Discover and use the latest LLMs. 500+ models (incl. 50+ free), explorable data, private chat, & a unified API. Join our community on Discord - https://openrouter.ai/discord Checkout the "Live" model rankings - https://openrouter.ai/rankings See the enterprise offering - https://openrouter.ai/enterprise

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Founded

2023

Location

New York, NY

Employees

19

Funding

Community-backed

OpenRouter: Unified API for LLMs and Multimodal Models

OpenRouter is an AI routing hub that gives you one OpenAI‑compatible API to access hundreds of language and multimodal models across many providers. Marketed as “One API for Any Model,” it emphasizes breadth, speed, and operational simplicity—complete with live model rankings, pricing transparency, and a built‑in chat sandbox.

  • Website: [OpenRouter](https://openrouter.ai)
  • Models directory: [Models](https://openrouter.ai/models)
  • Live rankings: [Rankings](https://openrouter.ai/rankings)
  • Quickstart: [Docs Quickstart](https://openrouter.ai/docs/quickstart)
  • API overview: [API Reference](https://openrouter.ai/docs/api-reference/overview)
  • Integrations hub: [Frameworks & Integrations](https://openrouter.ai/docs/community/frameworks-and-integrations-overview)
  • Why OpenRouter

  • One API for many providers: plug in once and switch models per task without managing multiple keys or SDKs. The OpenAI SDK works by simply changing the base URL. See [Quickstart](https://openrouter.ai/docs/quickstart).
  • Speed and edge routing: OpenRouter runs its gateway at the edge and claims ~25 ms added latency between users and inference.
  • Operational simplicity: centralized billing, automatic fallbacks, routing, and side‑by‑side comparisons to help teams ship faster.
  • Transparent selection: model metadata, pricing, context windows, throughput, and latency sorting in the [Models](https://openrouter.ai/models) directory; usage and performance signals in [Rankings](https://openrouter.ai/rankings).
  • Core Capabilities

  • OpenAI‑style chat completions with support for tool use, structured outputs, and multimodal inputs. Explore the [API Reference](https://openrouter.ai/docs/api-reference/overview) and [Models docs](https://openrouter.ai/docs/models).
  • Automatic fallback and routing to improve uptime during provider incidents.
  • Live model evaluations and side‑by‑side comparison tools for faster prototyping.
  • Aggregated billing: fund one account and pay per‑model usage; track spend centrally.
  • Built‑in chat to test models before integrating.
  • Who It’s For

  • Product teams needing fast access to many models without maintaining multiple integrations.
  • Startups optimizing for cost, latency, and quality before standardizing.
  • Enterprises seeking centralized billing, governance, and routing across providers.
  • Builders of chat, agents, code assistants, and RAG apps that require model flexibility.
  • Common Use Cases

  • Unified LLM access with per‑task or per‑tier model selection.
  • Fallback routing for higher reliability.
  • Cost/latency optimization by choosing the best provider for each model.
  • Rapid prototyping and evaluation using live [Rankings](https://openrouter.ai/rankings) and the hosted chat UI.
  • Multimodal tasks (vision‑text, image understanding) and structured outputs.
  • Integrations and Ecosystem

  • OpenAI SDK compatible: set base URL and key in minutes. See [Quickstart](https://openrouter.ai/docs/quickstart).
  • Frameworks and community connectors: [Integrations Directory](https://openrouter.ai/docs/community/frameworks-and-integrations-overview)
  • [Haystack integration](https://haystack.deepset.ai/integrations/openrouter)
  • [Zapier](https://zapier.com/apps/openrouter/integrations/google-business-profile)
  • [Home Assistant](https://www.home-assistant.io/integrations/open_router/)
  • [Weights & Biases Weave](https://docs.wandb.ai/weave/guides/integrations/openrouter)
  • Developer examples: [GitHub Examples](https://github.com/OpenRouterTeam/openrouter-examples)
  • Pricing and Trial

  • Pricing is per model and listed on each model’s page and comparison tables: browse [Models](https://openrouter.ai/models) and a sample compare view (e.g., [ChatGPT‑4o](https://openrouter.ai/compare/openai/chatgpt-4o-latest)).
  • Aggregated billing in a single account; pay per use.
  • Free access: a catalog of free models helps teams prototype quickly.
  • BYOK supported for some flows; platform fees or terms may vary by configuration—review docs and each model page for details.
  • Performance and Reliability

  • Latency: ~25 ms added by the edge gateway (as noted on the homepage).
  • Live usage/performance signals: check [Rankings](https://openrouter.ai/rankings).
  • Structured outputs and tool use enable deterministic flows and agent tooling.
  • User Sentiment (Pros and Cons)

  • Pros
  • Convenience and breadth with unified tracking; see community discussion on flexibility in [this Reddit thread](https://www.reddit.com/r/CLine/comments/1kqewos/why_should_i_use_openrouter/).
  • Fast to add new models, often listing releases quickly; see a comparison with Together AI in [r/AI_Agents](https://www.reddit.com/r/AI_Agents/comments/1iindyq/openrouter_vs_together_ai/).
  • Production‑ready for some teams with steady volume; see reports in [r/LocalLLaMA](https://www.reddit.com/r/LocalLLaMA/comments/1jydnif/anyone_use_openrouter_in_production/).
  • Competitive or transparent pricing on many models; cost discussion in [this thread](https://www.reddit.com/r/Chub_AI/comments/1dmbh23/open_router_cost_per_different_ai_models/).
  • Easy integration: OpenAI SDK works by swapping the base URL per the [Quickstart](https://openrouter.ai/docs/quickstart).
  • Cons
  • Provider quality varies; choose providers carefully as noted in [this cautionary post](https://www.reddit.com/r/LocalLLaMA/comments/1mk4kt0/be_careful_in_selecting_providers_on_openrouter/).
  • Reliability concerns from some users during peak times (throttling/degradation) per [this thread](https://www.reddit.com/r/JanitorAI_Official/comments/1nktx0x/how_it_feel_using_openrouter/).
  • Pricing clarity questions for certain models; see community feedback in [r/openrouter](https://www.reddit.com/r/openrouter/comments/1mgz77y/openrouter_model_pricing_misleading/).
  • Some stacks may prefer self‑managed routing (e.g., LiteLLM) as discussed in [this explainer thread](https://www.reddit.com/r/ChatGPTCoding/comments/1fdwegx/eli5_how_does_openrouter_work/).
  • Company and Team

  • Company: OpenRouter, Inc. — HQ listed as New York, NY on LinkedIn.
  • Tagline: “The Unified Interface for LLMs.”
  • Leadership: Alex Atallah, Cofounder & CEO .
  • Company profile: [OpenRouter on LinkedIn](https://www.linkedin.com/company/openrouter).
  • Privacy and Data Use

  • Privacy controls live in account settings: see [Privacy Settings](https://openrouter.ai/settings/privacy).
  • Important: data handling and retention can vary by provider. Review the [API Reference](https://openrouter.ai/docs/api-reference/overview) and individual model pages before deploying in regulated environments.
  • Getting Started

    1. Create an account and review the [Quickstart](https://openrouter.ai/docs/quickstart).

    2. Pick initial models in the [Models directory](https://openrouter.ai/models); validate with the hosted chat and [Rankings](https://openrouter.ai/rankings).

    3. Integrate by swapping your OpenAI base URL; add fallbacks and routing rules.

    4. Monitor cost and latency; iterate using side‑by‑side comparisons.

    5. Hardening: set privacy controls and choose providers based on your compliance needs.

    If helpful, I can produce a tailored model shortlist and routing plan for your stack—with cost and latency targets—based on your use case.