Model Price Radar MCP server
LLM prices on OpenRouter now and since 2023: history, drops, cheapest model for a job. No API keys.
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If you have run it, two minutes of your experience saves the next person an afternoon.
Model Price Radar tools (5)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
compare_providersSame model, different providers: price, context, max output, quantization and recent uptime for every provider that serves it on OpenRouter, cheapest first.
estimate_costCost of a workload on several models at today's prices, cheapest first.
find_modelsSearch OpenRouter's live catalog by name, capabilities, price ceilings and context size. 'cheapest' ranks by blended price (3 input : 1 output tokens).
model_price_historyMonthly price history of one model since it appeared on OpenRouter (archived copies since 2023) plus today's price. Shows every price change with its % and the overall change.
price_changesWhat changed in LLM pricing since a month: biggest price drops and increases, newly free models, and how many models were added or removed.
Public scan report
scanner v0.1.10 · 2026-10-01 · same rubric, same numbers if you re-run it
- Code scan8 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 0 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
How Model Price Radar compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 92/100
- higher than 90% of 4,460 AI and agents servers
- Tools
- 5
- the typical AI and agents server has 6
- Tools that change things
- 0%
- typical: 0%. Fewer write tools means less an agent can break
What its tools let an agent do: 5 read
Install Model Price Radar in Claude Code, Cursor or VS Code
claude mcp add model-price-radar-mcp -- uvx model-price-radar-mcp
What the publisher says
From the Model Price Radar repository's README, as published. We do not edit it. Read it on GitHub
model-price-radar-mcp
<!-- mcp-name: io.github.alialtunar/model-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 → $0.66.Summarized from real tool output, 1 Oct 2026.
Why
How it works
flowchart LR
C[Claude / MCP client] -->|tool call| S[model-price-radar-mcp]
S --> L[OpenRouter /api/v1/models: live prices, context, capabilities]
S --> E[OpenRouter /models/id/endpoints: per-provider prices]
S --> H[Bundled monthly history 2023→build date]
S --> W[Wayback Machine: months archived after the build]
L & H & W --> CPrice history ships inside the package (18 KB, one snapshot per month since July 2023), so history answers are instant; months archived after the release are fetched from the Wayback Machine on demand and cached. Prices are US$ 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-mcpClaude Desktop / Cursor (claudedesktopconfig.json / .cursor/mcp.json)
{
"mcpServers": {
"model-price-radar": {
"command": "uvx",
"args": ["model-price-radar-mcp"]
}
}
}Tools
Model names are forgiving: "claude sonnet" resolves to the newest Sonnet, "llama 3.1 70b" to meta-llama/llama-3.1-70b-instruct.
Prompts: cheapestmodelfor (a task → recommended model with monthly cost), monthlypricereport.
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
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Model Price Radar: common questions
- Is Model Price Radar MCP server safe?
- Yes, by our scan: it is graded A (92/100). Read the Model Price Radar safety report
- How do I install Model Price Radar?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Model Price Radar need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Model Price Radar maintained?
- The last commit was 34 days ago (2026-10-01). The latest release is v0.1.0.
- What can I use instead of Model Price Radar?
- Servers from other publishers that do the same job: Grandet MCP server and Ausca MCP server.
- How does Model Price Radar compare with other AI and agents MCP servers?
- safety score 92/100 (higher than 90% of 4,460 AI and agents servers); tools 5 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.
Alternatives to Model Price Radar
Same job from other publishers: the closest match first, then the best rated.