How do I reduce my Cursor API bill?

Cursor Pro's $20/mo covers 500 fast requests — past that you pay OpenAI / Anthropic per-call rates directly, which is why heavy users end up at $50-$200/mo. The fix is to point Cursor's Custom API at CodeRouter and set model to 'auto'. CodeRouter detects what phase of coding the request is (planning, implementation, debugging, test generation, docs) and routes to the cheapest capable model per phase — Opus only for planning, DeepSeek V4 Pro for implementation and test generation, Haiku for docstrings. Same Cursor IDE, same keyboard shortcuts, 70-90% lower monthly bill. Setup takes 2 minutes — just change base_url to https://www.coderouter.io/api/v1 and paste your cr_ API key.

What is the cheapest API for Claude Code / Aider / Copilot?

There isn't a single 'cheapest API' — the cheapest model depends on what the coding agent is doing. For planning and architecture, you still want Claude Opus 4.8 or Sonnet 4.6. For implementation, DeepSeek V4 Pro ($0.44/$0.87 per 1M) and Kimi K2.6 are 15-40x cheaper than Opus with near-equivalent code quality. For test generation, DeepSeek V4 Pro or GLM-5.2 is 15-50x cheaper. For docstrings and simple formatting, Haiku 4.5 ($1/$5) or Gemini 2.5 Flash ($0.30/M output) is 15-250x cheaper. CodeRouter is the gateway that picks per request automatically — aim a single base_url at https://www.coderouter.io/api/v1 from Claude Code, Aider, Copilot (via LiteLLM), Cursor, Windsurf, or any OpenAI-compatible agent.

Does DeepSeek V4 Pro work as well as Claude Sonnet for coding?

For implementation and test generation phases — yes, DeepSeek V4 Pro matches Claude Sonnet 4.6 on HumanEval, MBPP, and LiveCodeBench within 1-3 points. For multi-file refactoring and architecture planning, Sonnet still has an edge on long-context reasoning. DeepSeek V4 Pro costs $0.44 input / $0.87 output per 1M tokens after the July 2026 price cut, vs Sonnet's $3/$15 — roughly 7-17x cheaper. The right answer for most coding agents is not 'pick one forever' but 'use DeepSeek V4 Pro for the implement/test phases and Sonnet or Kimi K3 for the plan/refactor phases.' That's phase-aware routing in practice — CodeRouter decides per request in ~10ms.

What is phase-aware LLM routing?

Phase-aware LLM routing classifies each coding-agent request by what phase of software work it represents — planning, implementation, debugging, testing, refactoring, or documentation — and routes it to the cheapest model that can handle that specific phase. A 'write unit tests for this function' request goes to DeepSeek V4 Pro ($0.87/M output). A 'refactor this multi-file feature and plan the migration' request goes to Claude Opus 4.8 ($25/M output). This is different from picking one model for everything, and different from OpenRouter-style model-selection (which still requires you to choose manually). CodeRouter's classifier runs in ~10ms on the server, so the agent never notices the extra hop.

CodeRouter vs OpenRouter — which saves more money on coding?

OpenRouter is a model marketplace — it gives you access to 300+ models behind one API key, but you still pick which model to send each request to. Most Cursor / Aider / Claude Code users default to the premium model (Opus, GPT-5) for everything and end up paying full price. CodeRouter is a phase-aware router — set model to 'auto' and we pick the cheapest capable model per request based on the coding phase. CodeRouter also adds things OpenRouter doesn't: coding-specific capability scores per model (implementation, debug, test, refactor), per-end-user attribution for SaaS agent builders, and built-in quota + top-up billing. For pure coding workloads, typical CodeRouter savings are 70-90% vs picking one model on OpenRouter.

Will CodeRouter break my Cursor / Aider / Claude Code agent?

No. CodeRouter exposes a standard OpenAI-compatible chat completions endpoint (POST /api/v1/chat/completions) with the same request and response format your agent already uses — including streaming, tool use, and function calling. We implement the same JSON schema and stream format, so Cursor, Aider, Claude Code, Cline, Continue.dev, Windsurf, OpenClaw, and any LiteLLM-wrapped client work unmodified. If a routed model fails, the fallback chain tries up to 2 alternates automatically (on 429, 500-504, timeouts, missing keys). You can also pin an explicit model instead of 'auto' any time.

How do I set up CodeRouter with Cursor in 2 minutes?

1) Sign up free at https://www.coderouter.io/login and copy your API key (starts with cr_). 2) In Cursor, open Settings -> Models -> OpenAI API Key, and under 'Override OpenAI Base URL' paste https://www.coderouter.io/api/v1. Paste your cr_ key in the API Key field. 3) Add 'auto' to the Custom Models list and select it as your active model. That's it — phase-aware routing is live. Aider users set OPENAI_API_BASE and OPENAI_API_KEY env vars to the same values. Claude Code users set ANTHROPIC_BASE_URL to https://www.coderouter.io/api/v1 and ANTHROPIC_API_KEY to the cr_ key. Full guide at https://www.coderouter.io/setup.

Claude Code Router (CCR) Explained: What It Is, How It Works, and When a Hosted Router Fits Better (2026)

TL;DR — Claude Code Router (CCR) is an MIT-licensed, self-hosted local gateway that sits between coding agents (Claude Code, Codex, Grok CLI, Kimi CLI and others) and model providers, exposing one local endpoint (http://127.0.0.1:3456 by default) so you can route requests across providers with your own rules. It is the right tool if you want to run and tune the gateway yourself. CodeRouter is the hosted alternative for teams that want the same routing without operating the box. Everything below about CCR comes from its README as of 2026-08-30.

What Claude Code Router actually is

CCR describes itself as "a local model gateway and control plane for coding agents." Concretely:

One local endpoint — agents point at 127.0.0.1:3456 instead of a provider API; CCR forwards to whichever provider/model your rules select
Multi-agent — Claude Code, Codex, Grok CLI, Kimi CLI and other agents share the same gateway
Providers supported (per README): OpenAI, Anthropic, Gemini, OpenRouter, DeepSeek, SiliconFlow, Moonshot/Kimi, Mistral, Z.AI, Bailian, plus custom OpenAI-compatible endpoints
Control-plane features: credential pools, model fallback chains, request rewrites, retries, tool integration (MCP, ToolHub, web search), and request logging with latency, token and cost tracking
License: MIT

Installing and starting it

The README documents three paths:

Desktop app (recommended by the project): download the Windows/Linux/macOS build from the releases page → launch → configure providers → start the server
CLI: npm install -g @musistudio/claude-code-router then ccr ui — requires Node.js 22+
Docker: docker compose up -d --build — the README asks you to read its deployment guide before exposing CCR remotely

Once running, point your agent at the local endpoint (for Claude Code that is the standard base-URL override — see our Claude Code base URL guide for the mechanics, which are identical for any OpenAI-compatible gateway).

Where the work goes: local gateway vs hosted router

Both approaches solve the same problem — routing coding-agent traffic to the right model — but they put the operational burden in different places.

| | Claude Code Router (self-hosted) | CodeRouter (hosted) | |---|---|---| | Who runs the gateway | You (desktop app, CLI process, or Docker) | We do — one OpenAI-compatible endpoint | | Routing rules | You author and maintain them | Automatic model selection, override per request | | Credentials | Your provider keys, managed in CCR's credential pools | One CodeRouter key; providers behind it | | Fallback / retries | Configurable in CCR | Built in | | Logs, cost tracking | Local, per README | Dashboard | | Best for | Developers who want full control and local-only traffic | Teams who want routing without running infrastructure |

Choose CCR when you need requests to stay on your machine, want to hand-tune rules per agent, or are comfortable maintaining Node/Docker services. Choose a hosted router when the gateway is not something you want to babysit — especially across a team, where one endpoint and one key beats N local configs.

Routing decision card

Local requirement or air-gapped workflow → CCR (or any self-hosted gateway); a hosted router cannot satisfy "traffic never leaves my machine"
Team of more than one, or agents on more than one machine → hosted router; per-machine gateways drift
Both are OpenAI-compatible in spirit: switching between them is a base-URL change, not a rewrite — try one, measure, switch
Related reading: Is Agent Router safe? · Agent Router models · LLM API error reference

Facts about Claude Code Router are taken from the project README (MIT, github.com/musistudio/claude-code-router) as of 2026-08-30; the project moves quickly — check the repo for current provider and feature lists.

Claude Code Router (CCR) Explained: What It Is, How It Works, and When a Hosted Router Fits Better (2026)

What Claude Code Router actually is

Installing and starting it

Where the work goes: local gateway vs hosted router

Routing decision card

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