Complete pricing guide for OpenRouter. Compare all plans, analyze costs, and find the perfect tier for your needs.
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Pricing sourced from OpenRouter · Last verified March 2026
Detailed feature comparison coming soon. Visit OpenRouter's website for complete plan details.
View Full Features →OpenRouter is used as a unified API layer for accessing many LLMs through one OpenAI-compatible interface. Instead of integrating separately with Anthropic, OpenAI, Google, and other model providers, developers can route requests through OpenRouter and use one credit balance across supported models.
OpenRouter can replace direct provider integration for many chat and agent use cases because its API is OpenAI-compatible and the site says the OpenAI SDK works out of the box. Teams with provider-specific requirements should still verify whether the needed features are supported through OpenRouter.
OpenRouter advertises reliability through distributed infrastructure and provider fallback. In practice, this means an application can be configured so that if one provider or model endpoint becomes unavailable, requests can be routed to another compatible option when available.
OpenRouter uses free model access for selected models and pay-as-you-go credits for paid usage. Exact costs depend on the selected model, provider route, input tokens, output tokens, and the live model-level pricing shown by OpenRouter.
OpenRouter highlights custom data policies that let organizations control which models and providers can receive prompts. These controls are relevant for teams that need budget enforcement, provider restrictions, or safer model access across internal applications.
AI builders and operators use OpenRouter to streamline their workflow.
Try OpenRouter Now →Production AI control plane: AI gateway, prompt management, observability, guardrails, and MCP gateway in front of 1,600+ LLM providers.
Compare Pricing →Cloudflare AI Gateway is a free AI observability and control layer that proxies requests to OpenAI, Anthropic, Google, and 25+ providers with caching, rate limiting, logging, DLP, and Guardrails.
Compare Pricing →AI-native cloud for inference, fine-tuning, and dedicated GPU clusters, offering 200+ open-source and frontier-class models behind an OpenAI-compatible API plus reserved H100/H200/B200 capacity.
Compare Pricing →Production inference platform for open-weight LLMs, multimodal models, and custom fine-tunes — known for very fast serving (FireAttention/FireOptimizer), reliable function calling, and JSON mode at low per-token prices.
Compare Pricing →AI inference cloud built on Groq's own LPU (Language Processing Unit) chips that serves open-weight LLMs, Whisper, and vision models at the lowest latency in the market, with an OpenAI-compatible API.
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