Crazyrouter is an AI API gateway that puts hundreds of models from OpenAI, Anthropic, Google, DeepSeek, xAI, Moonshot, Kling, Suno and others behind one API key. It offers OpenAI-, Anthropic- and Gemini-compatible endpoints, so you can usually switch existing code by changing the base URL and key. Billing is pay-as-you-go per token, and many models cost less than the official list price. It suits developers and teams who want many models without managing separate provider accounts.

• One key, hundreds of model: Use chat, reasoning, coding, image, video and music models from providers like OpenAI, Anthropic, Google, DeepSeek, xAI, ByteDance, Kling and Suno with a single API key.
• Three native api formats: OpenAI-, Anthropic- and Gemini-compatible endpoints let you keep the SDKs and request formats you already use.
• Pay-as-you-go billing: You pay per token (or per track for Suno music), so your costs follow your actual usage.
• Below-list pricing on many models: The pricing page shows discounts such as Gemini 3 Flash at -67%, Claude Opus 5 at -35% and GPT-5 at -20% compared with official list prices.
• Public price comparison: A pricing table compares official list prices for 40 chat models, checked daily, with Crazyrouter's rates. A pricing calculator is also available.
• Coding tool integrations: Setup guides cover Claude Code, Codex CLI, Cursor, Cline, Gemini CLI, OpenCode, Aider, OpenClaw and Hermes Agent.
• SDKs and mcp server: Python and Node.js SDKs, an MCP server and agent skills help you connect Crazyrouter to your apps and agent workflows.
• Multimodal catalog: Besides text models, the catalog includes text-to-image, image editing, text-to-video, image-to-video and music generation models.

• Lower costs on popular models: Published rates come in below list price for many Google, Anthropic, OpenAI and xAI models, which helps if you run high token volumes.
• Easy migration: Because it supports OpenAI, Anthropic and Gemini native formats, you usually only need to change the base URL and API key.
• Broad model coverage in one place: You can test and switch between models from many vendors without opening separate accounts.
• Clear price transparency: The pricing page lists list prices next to Crazyrouter prices, so you can see the savings (or the lack of savings) for each model.
• Developer-friendly setup: Ready-made guides for popular coding CLIs and IDEs shorten setup for tools like Claude Code and Cursor.
• Beyond text: Image, video and music generation models are available through the same account.

• Discounts vary by model: Some models, like Claude Sonnet 5.5, are priced at list rate, and a few, like DeepSeek V4 Flash and Kimi K2.5, cost more than the official price. You need to check each model you plan to use.
• Third-party layer: Your requests go through an intermediary instead of directly to the model provider. Teams with strict data handling or vendor contract requirements may prefer going direct or using a cloud provider like Azure, Bedrock or Vertex.
• Limited price comparison scope: The list-vs-Crazyrouter comparison covers 40 chat models, and the site notes that prices may lag official changes. You may need to confirm prices for other models yourself.
• Narrow music coverage: Music generation currently relies on a single provider (Suno), so you get fewer options there than for chat or video.

• Cutting LLM API spend: A startup running Gemini or Claude Opus in production sends traffic through Crazyrouter to pay below list rates. The same code keeps working because the endpoints stay compatible.
• Running coding agents cheaply: A developer points Claude Code, Codex CLI or Cursor at Crazyrouter and pays per token. They can also pair a strong model with a cheaper "weak" model in Aider for commit messages and summaries.
• Model evaluation and switching: A product team compares GPT, Claude, Gemini, DeepSeek and Kimi on the same prompts with one key. Switching models only means changing a model name.
• Multimodal content pipelines: A creative app generates text with an LLM, images with an image model, video with Kling or other video models, and music with Suno, all billed through one account.
• Agent and MCP workflows: Teams building AI agents use the MCP server and SDKs to give agents access to many models without wiring up each provider separately.