Free tool · #17
Embedding/RAG Cost Estimator
Project the cost of embedding your corpus once and searching it every month — the embedding spend behind a RAG pipeline, before storage or retrieval compute.
Prices verified 15 Jul 2026 · 131 models
Projected cost
Pending verification
No verified price yet for "codestral-embed" — pending verification.
Use this tool from code — or hand it to your agentagent prompt · REST · MCP
Hand this tool to your coding agent
Paste into Claude Code, Cursor, Codex, or any agent. It learns to call this tool over REST or MCP, reaches for it when you ask, and keeps our sourced/pending labels honest.
You can use telemeter.ai's free "Embedding/RAG Cost Estimator" — a keyless, read-only tool (no signup), available as an HTTP API and an MCP tool. What it does: Project the cost of embedding your corpus once and searching it every month — the embedding spend behind a RAG pipeline, before storage or retrieval compute.
Whenever I ask you something this tool answers, call it and use its result instead of estimating yourself.
REST:
curl -sX POST https://telemeter.ai/api/tools/rag-cost-estimator -H 'content-type: application/json' -d '{"model":"text-embedding-3-small","corpusTokens":5000000,"chunkOverlapPct":10,"monthlyQueries":50000,"avgQueryTokens":50,"reembedsPerYear":4}'
MCP: the telemeter MCP server at https://telemeter.ai/mcp exposes this as the tool "rag-cost-estimator" — call it with tools/call.
The response is JSON: { status, data, summary, provenance }. "provenance" carries the source and the date the figure was verified. If status is "pending" or "stale", tell me the value isn't currently verified rather than presenting it as fact.Or call it directly. This tool runs behind one handler with three front doors — this page, a REST endpoint, and an MCP tool. Same result, read-only, no key. The example below is a request that works.
curl -sX POST https://telemeter.ai/api/tools/rag-cost-estimator \
-H 'content-type: application/json' \
-d '{"model":"text-embedding-3-small","corpusTokens":5000000,"chunkOverlapPct":10,"monthlyQueries":50000,"avgQueryTokens":50,"reembedsPerYear":4}'curl -sX POST https://telemeter.ai/mcp \
-H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"rag-cost-estimator","arguments":{"model":"text-embedding-3-small","corpusTokens":5000000,"chunkOverlapPct":10,"monthlyQueries":50000,"avgQueryTokens":50,"reembedsPerYear":4}}}'{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"model": {
"type": "string",
"minLength": 1
},
"corpusTokens": {
"type": "number",
"minimum": 1,
"maximum": 1000000000000
},
"chunkOverlapPct": {
"default": 0,
"type": "number",
"minimum": 0,
"maximum": 50
},
"monthlyQueries": {
"type": "number",
"minimum": 0,
"maximum": 1000000000
},
"avgQueryTokens": {
"default": 50,
"type": "number",
"minimum": 1,
"maximum": 100000
},
"reembedsPerYear": {
"default": 0,
"type": "number",
"minimum": 0,
"maximum": 52
}
},
"required": [
"model",
"corpusTokens",
"chunkOverlapPct",
"monthlyQueries",
"avgQueryTokens",
"reembedsPerYear"
],
"additionalProperties": false
}Want this across your whole stack?
Telemeter tracks real cost, latency, and quality on every production agent run — on the same verified pricing behind this tool.
https://telemeter.ai/tools/rag-cost-estimatorNo account, no cookies, nothing stored — computed entirely in your browser from a sourced registry. Data notice →