Overview
OpenRouter is an AI model aggregation API platform that provides a unified interface to access over 400 models from more than 70 providers. Developers only need one API Key to freely switch between different models—without having to register accounts with each model vendor separately.
Another value of OpenRouter is transparent price comparison and automatic routing—it displays real-time prices for each model, allowing you to choose the most cost-effective model as needed.
Key Features
- Unified API: Access over 400 models from more than 70 providers with one API Key, OpenAI SDK ready out of the box
- Transparent Pricing: Real-time display of API prices for each model, clear at a glance
- OpenAI Format Compatibility: API format compatible with OpenAI SDK, zero switching cost
- Model Routing: Can set automatic selection of the cheapest or fastest model, with failover to other providers
- Free Models: Some open-source models offer free quotas
- Usage Monitoring: Detailed usage statistics and consumption breakdown
- Custom Data Policy: Fine-grained control over data flow, ensuring prompts are only sent to trusted models and providers
- High Availability: Distributed infrastructure automatically falls back to other providers when one fails
Use Cases
- Developers who need to flexibly switch between multiple AI models
- Comparing effects and cost-effectiveness of different models
- Model backend for AI applications (not locked to a vendor)
- Low-cost AI API for personal projects
- Model backend for local AI tools (e.g., Open WebUI)
Pros
- One-stop multi-model: no need to manage multiple API Keys
- Transparent pricing: model prices clear at a glance
- OpenAI compatible: zero switching cost
- Free models: some models available at no cost
- Flexible switching: change models anytime without modifying code
- High availability: automatic failover ensures service stability
- Custom data policy: protect organizational data security
Pricing
OpenRouter does not charge a platform fee; billing is based on the actual API price of the model. Different models have different prices (e.g., GPT-5.6 Terra is approximately $2.5 per million input tokens, Claude Sonnet 5 introductory price is $2 per million input tokens). Some open-source models offer free quotas. Pay as you go, no minimum spend, no subscription required.
Summary
OpenRouter is the 'unified entry for AI APIs'—one account to use all models, transparent pricing, and on-demand switching. It is especially suitable for developers and AI enthusiasts who need flexibility in choosing between different models. If you only use one model, using the vendor's API directly may be more straightforward; but if you need flexibility, OpenRouter is the best solution.
Version History
- OpenRouter 视频生成 API：一份代码优先的接入指南 (2026-08-25): OpenRouter launches a unified asynchronous video generation API, where tasks are submitted via POST /api/v1/videos, status is polled, and MP4 files are downloaded. It supports models such as Seedance, Veo, and Wan, and switching models only requires changing the model identifier.
- OpenRouter 宣布加入 Stripe (2026-08-19): OpenRouter announces a merger with Stripe to accelerate global economic growth. OpenRouter currently processes over 10+ trillion tokens daily from 400+ AI models, serving more than 10 million developers and companies, with inference volume growing at least 10x annually since its founding. After the merger, OpenRouter will continue to operate independently under its original name and mission, with no changes to its product or roadmap, and routing decisions will remain prioritized by user interests. The transaction is expected to close within the coming weeks.
- OpenRouter 推出 Activity 仪表盘与 Analytics API：按智能体、模型、请求追踪 AI 使用 (2026-08-17): OpenRouter releases Activity dashboard and beta Analytics API, allowing users to view metrics such as spending, token volume, and cache hit rate by agent, model, and request dimension, with support for drilling down to individual request logs.
- OpenRouter 推出实时网页搜索基准测试：如何为智能体选择引擎、深度与模型 (2026-08-12): OpenRouter released a real-time leaderboard that systematically evaluates four configuration combinations: model, search engine, search method, and budget. Data shows that increasing the search budget from 1 round to 25 rounds nearly doubles the BrowseComp score, with costs rising only 2.5-7 times; model selection matters more than the engine, with an average score difference of 15 points vs. 10 points. For tasks with high failure rates, search depth should be reduced to control costs.
- OpenRouter 推出由市场智慧驱动的新版 Auto 路由器 (2026-08-10): Based on weekly community consumption data of over 55T tokens, OpenRouter has launched a new version of the Auto router (openrouter/auto), whose model selection outperforms the old version across most tasks and cost tiers. The new router matches models actually consumed by the community over the past 7 days across approximately 30 task types, supports the cost_tier parameter (from low to max), and adheres to account privacy settings. On benchmarks such as MMLU Pro, the new default tier achieves performance equivalent to the old version in most domains at a lower cost.
- OpenRouter 推出 Ori Eval：用你的数据证明哪款模型最适合你的项目 (2026-07-31): OpenRouter releases Ori Eval, an agent that can scan codebases, automatically write eval files, and run evaluations, helping developers select the single best model for their projects from over 500 models.
- OpenRouter 推出 Ori Eval 简化评估流程 (2026-08-03): 推出 Ori Eval：编写首个评估的最简单方式。 没有绝对最好的模型，只有最适合每项任务的模型。Ori Eval 利用 OpenRouter 的 API 处理代码库中的每项任务，然后评估结果。 curl -fsSL https://openrouter.ai/skills/spawn-ori-eval
- OpenRouter 下调 GPT-5.6 Terra/Luna 价格 (2026-07-30): GPT-5.6 Terra and Luna just got a price cut from @OpenAI. OpenRouter's prices are still lower. Our 50% exclusive discount applies on top of that, bringing Luna input down to $0.1/M and output to $0.6/M, and Terra input down to $1/M and output to $6/M. Scale your workloads with luna: https://openrouter.ai/openai/gpt-5.6-luna
- Launched Gemini 3.6 Flash + Classifiers (2026-07-21): Launched Gemini 3.6 Flash and 3.5 Flash-Lite (150+ tok/s); Classifiers beta automatically tag AI request usage and cost attribution