FreeModel MCP
Routes tasks to the optimal AI model based on task type and benchmark scores across 25+ platforms. Automatically selects the best model for coding, reasoning, writing, and more using public benchmark data.
README
FreeModel MCP
Stop paying Claude prices for every task. Route coding to DeepSeek, reasoning to Qwen, writing to Gemini — automatically. One API key, 25+ platforms, the right model every time.
npx freemodel-mcp
FreeModel is a model router for Claude Code. It looks at what you're doing — writing code, analyzing data, translating text — and picks the best model for that specific task. Not just the cheapest. Not just the most popular. The one that actually scores highest on the relevant benchmarks.
Why this exists
Every model router does the same thing: "route cheap prompts to cheap models." They classify by complexity (simple → Haiku, complex → Opus) and call it a day.
FreeModel answers a different question: which model actually performs well on this type of task?
Other routers: FreeModel:
"How hard is this?" "What kind of task is this?"
↓ ↓
simple / medium / hard coding / reasoning / writing
↓ ↓
pick cheaper model pick model that scores highest
at same complexity on this task type's benchmarks
The difference is data. FreeModel scores every model across six dimensions (Code, Knowledge, Math, Instruction, Safety, Efficiency) using 18 public benchmarks — LiveCodeBench, MMLU-Pro, MATH-500, IFEval, SimpleQA, and more. The scores are public at model.leyijian.com/classification.html.
vs. the alternatives
| mcp-multi-model | claude-code-llm-router | llm-routing | FreeModel | |
|---|---|---|---|---|
| Routing logic | keyword match in yaml | complexity regression | confidence score | 6-dim benchmark scores |
| Task types | none | simple/medium/hard | none | coding, reasoning, writing, chat, creative, multimodal |
| Model catalog | 12 platforms, manual config | 20 platforms, auto-detect | 20 platforms | 25 platforms, 982 models |
| Why this model? | "you configured it" | "complexity match" | "confidence score" | "scores 92 on coding benchmarks" |
| Tier system | no | no | no | L1–L5, public rubric |
| Subscription routing | no | no | no | yes, auto-prioritizes paid subs |
| Pricing | static yaml | static | static | live API prices |
| Data transparency | N/A | N/A | N/A | public classification page |
How it works
Tier system (L1–L5)
Every model gets a tier based on six-dimension benchmark scores — not marketing copy, not vibes.
| Tier | Label | Threshold | Example |
|---|---|---|---|
| L1 | Specialist | single-dim excellence | DeepSeek-R1 (Reasoning 95) |
| L2 | Professional | ≥70 composite | Claude Opus 4, GPT-5 |
| L3 | Competent | ≥55 composite | Qwen3-Max, DeepSeek-V4 |
| L4 | Capable | ≥35 composite | GLM-4-Flash, ERNIE-Speed |
| L5 | Basic | <35 composite | Small/fast models |
Task auto-detection
6 task types detected from the user's prompt before routing:
- coding — 写代码、debug、爬虫、API、build、修复
- reasoning — 分析、数学、架构、安全审计、规划
- writing — 翻译、写作、总结、报告、文档
- creative — 头脑风暴、命名、设计、营销
- chat — 问答、推荐、对比、讨论 (default)
- multimodal — 图片、OCR、视频
Task type → filter to models that score well on relevant benchmarks → pick best price/performance.
Scoring dimensions
Code ────────── LiveCodeBench, SWE-bench, HumanEval
Knowledge ───── MMLU-Pro, GPQA Diamond
Math ────────── MATH-500, AIME 2024
Instruction ─── IFEval, MT-Bench
Safety ──────── SimpleQA, TruthfulQA
Efficiency ──── speed, throughput, cost
18 data sources, 6 dimensions, all public.
Quick start
Option 1: npx (recommended)
Add to ~/.claude/mcp.json:
{
"mcpServers": {
"freemodel": {
"command": "npx",
"args": ["-y", "freemodel-mcp"],
"env": {
"FREEMODEL_KEY": "sk-your-key"
}
}
}
}
Get a key at model.leyijian.com → Settings → API Keys.
Option 2: git clone
git clone https://github.com/yummy342/freemodel-mcp.git
cd freemodel-mcp && npm install
{
"mcpServers": {
"freemodel": {
"command": "node",
"args": ["/path/to/freemodel-mcp/server.js"],
"env": {
"FREEMODEL_KEY": "sk-your-key"
}
}
}
}
MCP Tools
| Tool | What it does |
|---|---|
freemodel_key_health |
Subscription status, platform health, recommended model |
freemodel_status |
Session summary: active model, healthy count |
freemodel_models |
List your available platforms and models |
freemodel_recommend |
Describe a task → get 2-3 model picks with reasons |
freemodel_run |
Execute on a specific model (platform + model name) |
With the skill (recommended)
Install the Claude Code skill for full auto-routing:
- Copy
skill.mdto~/.claude/skills/freemodel/skill.md - Claude Code auto-loads it on startup
- Every task is auto-classified → routed to the best model → executed
The skill adds: subscription priority routing, platform health sorting, quota exhaustion prevention, task-type auto-detection, and model fallback chains.
What you need
- A FreeModel API key (get one here)
- Add platform keys in the dashboard (DeepSeek, Alibaba, etc.)
- Node.js ≥ 18
That's it. No API keys in config files — everything lives in your FreeModel account, encrypted.
Privacy
This is a local relay. Prompts go from your machine → FreeModel API → target platform. No telemetry, no analytics. Your platform API keys stay encrypted in your FreeModel account.
The data
All tier scores, benchmark results, and data sources are public:
→ model.leyijian.com/classification.html
License
MIT
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