About Model Price Radar
Model Price Radar is an MCP server for LLM users and cost analysts. It queries OpenRouter’s model catalog, estimates workload costs, and tracks monthly price history since 2023, with model filters and provider comparisons; no API keys are required.
Key features
- 01Search models by capabilities and price
- 02Estimate and rank workload costs
- 03Track model price history
- 04Summarize price changes
- 05Compare provider offers
Use cases
- 01Filter models by capability and context needs
- 02Estimate monthly costs across models
- 03Review how model prices changed over time
- 04Compare providers for the same model
MCP support
As an MCP server, it offers clients tools for model search, cost estimation, price history and changes, and provider comparisons, along with model-selection and monthly-report prompts.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
5Saved tool list · updated 2w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| sort | enum | No | Ranking.cheapest | newest | context |
| limit | integer | No | |
| needs | array | No | Required capabilities, e.g. ['tools', 'vision']. |
| query | any | No | Words in the model id or name, e.g. 'claude', 'llama 70b', 'qwen coder'. |
| min_context | any | No | Minimum context window in tokens, e.g. 128000. |
| max_input_price | any | No | Max $ per 1M input tokens. |
| response_format | enum | No | 'markdown' (default) or 'json'.markdown | json |
| max_output_price | any | No | Max $ per 1M output tokens. |
Details
From the project READMEmodel-price-radar-mcp
What does each LLM cost today, and did it get cheaper? An MCP server over OpenRouter's public model catalog (~450 models) plus monthly price history since 2023, rebuilt from Wayback Machine copies of the catalog. Ask Claude (or any MCP client) for the cheapest model that can do a job, what a workload will cost, or how a model's price moved.
No API keys. One line to install.
You: Did LLM prices really go down? Show me GPT-4o and DeepSeek Chat.
Claude: [model_price_history ×2, price_changes]
• GPT-4o: $5 / $15 per 1M tokens until Oct 2024, $2.50 / $10 since Nov 2024.
• DeepSeek Chat changed price 12 times since mid-2024; input went from
$0.14 to $0.26 per 1M.
• Not everything gets cheaper: since Oct 2025 older open models went up
as cheap hosts dropped them, e.g. Qwen 2.5 Coder 32B input $0.04 → $0.66.
Summarized from real tool output, 1 Oct 2026.

Why
| You want to know | Without it | With model-price-radar |
|---|---|---|
| Cheapest model with tools + vision + 200k context | Scroll pricing pages | find_models(needs=["tools","vision"], min_context=200000) |
| What 100k calls/month will cost on 5 models | Spreadsheet | estimate_cost ranks them with a "× cheapest" column |
| Did this model's price change? | Nobody keeps history | model_price_history since the model appeared |
| What moved in LLM pricing this quarter | price_changes lists drops, increases, newly free models | |
| Which provider serves Llama cheapest | Compare tabs | compare_providers with quantization and uptime |
How it works
flowchart LR
C[Claude / MCP client] -->|tool call| S[model-price-radar-mcp]
S --> L[OpenRouter /api/v1/models: live prices, context, capabilities]
S --> E[OpenRouter /models/id/endpoints: per-provider prices]
S --> H[Bundled monthly history 2023→build date]
S --> W[Wayback Machine: months archived after the build]
L & H & W --> C
Price history ships inside the package (18 KB, one snapshot per month since July 2023), so history answers are instant; months archived after the release are fetched from the Wayback Machine on demand and cached. Prices are US$ per 1M tokens; "blended" assumes 3 input tokens per output token.
Install
Requires uv.
Claude Code
claude mcp add model-price-radar -- uvx model-price-radar-mcp
Claude Desktop / Cursor (claude_desktop_config.json / .cursor/mcp.json)
{
"mcpServers": {
"model-price-radar": {
"command": "uvx",
"args": ["model-price-radar-mcp"]
}
}
}
Tools
| Tool | What it does |
|---|---|
find_models | Search the live catalog by name, capabilities (tools, vision, reasoning, structured outputs, audio, free), price ceilings, context |
estimate_cost | Cost of a workload (tokens per call × calls) on up to 10 models, cheapest first |
model_price_history | Every price change of one model since it appeared, with % changes |
price_changes | Since a month: biggest drops and increases, newly free models, models added/removed |
compare_providers | Same model across providers: price, context, max output, quantization, uptime |
Model names are forgiving: "claude sonnet" resolves to the newest Sonnet, "llama 3.1 70b" to meta-llama/llama-3.1-70b-instruct.
Prompts: cheapest_model_for (a task → recommended model with monthly cost), monthly_price_report.
Try these
- "Cheapest model with tool calling and vision for 50k support tickets a day? Show monthly cost."
- "How did Claude and GPT prices change since 2024?"
- "What got cheaper in LLM pricing since January?"
- "Which provider serves Llama 4 Maverick cheapest, and at what quantization?"
Limits
- Prices are OpenRouter's, which usually equal each provider's list price. Batch and enterprise discounts are not included.
- History has one point per archived month, so a change is dated "between these two months".
- Models are tracked by OpenRouter id; a renamed id starts a new history.
Part of the keyless MCP series
Open-source MCP servers that answer one market question each, with public data and no API keys.
| Server | Question it answers |
|---|---|
| review-miner-mcp | What do users hate about competitor apps and games? (App Store + Steam reviews) |
| pricing-time-machine-mcp | How did a SaaS pricing page change over the years? (Wayback Machine) |
| hn-hiring-trends-mcp | Which skills are tech companies hiring for, and which are rising? (HN Who is hiring) |
| model-price-radar-mcp (this one) | What does each LLM cost, and did it get cheaper? (OpenRouter + price history) |
| launch-detector-mcp | What is a company about to launch? (certificate transparency logs) |
Development
uv sync --extra dev
uv run pytest # offline tests with mocked OpenRouter + Wayback
uv run python scripts/smoke_live.py # live check
uv run python scripts/build_history.py # rebuild the bundled history (several minutes)
uv run --with rich python scripts/demo.py deepseek/deepseek-chat # terminal demo (vhs docs/demo.tape records the GIF)
MIT © Ali Altunar
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.