ModelCostComparison is listed as active in the registry but did not answer our last check. It exposes 6 tools. Last commit 2 Oct 2026.
Find AI model pricing, estimate token costs and compare offers. No API key required.
Uptime history
44 days of history · worst day 0%
44 days agonow
1.1%
Uptime 24h
1 of 91 checks
6
Tools
read from the server
935 ms
Response time
average over 24h
0
Stars
last commit 2 Oct 2026
What changed 15
Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 27 September 2026. No other catalogue keeps this.
29 Sep
6 tool descriptions were rewritten
calculate_cost, compare_model_costs, find_cheapest_models and 3 more
29 Sep
6 tools changed the parameters they ask for
calculate_cost, compare_model_costs, find_cheapest_models and 3 more
27 Sep
2 tools appeared
find_cheapest_models, list_providers
27 Sep
a tool description was rewritten
list_models
ModelCostComparison does not always answer
Over the last week it answered 1.7% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.
Connect this server
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 11 min ago.
run in your terminal
claude mcp add modelcostcomparison --transport http https://modelcostcomparison.com/api/v1/mcpSettings → Connectors → Add custom connector, then paste this address
https://modelcostcomparison.com/api/v1/mcp~/.codex/config.toml
[mcp_servers.modelcostcomparison]
url = "https://modelcostcomparison.com/api/v1/mcp".cursor/mcp.json
{
"mcpServers": {
"modelcostcomparison": {
"url": "https://modelcostcomparison.com/api/v1/mcp"
}
}
}.vscode/mcp.json
{
"servers": {
"modelcostcomparison": {
"type": "http",
"url": "https://modelcostcomparison.com/api/v1/mcp"
}
}
}Available tools 6
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
calculate
calculate_cost
Use when you have one exact offer ID and token usage and want its USD text-token subtotal. Discover the ID with list_models first. Total input includes cached input; do not add cached tokens twice. Excludes cache writes, storage, search, tool fees and taxes. Requires current reviewed, supported rates; does not invoke a model. Use compare_model_costs for several known offers.
cheapest
find_cheapest_models
Use when you know your token workload but have not selected offers: rank eligible current reviewed offers by USD text-token subtotal and return their exact IDs. Defaults to standard tariffs. Cheapest means within the eligible catalogue and supplied filters, not best quality or the entire market. Equal token counts do not imply tokenizer equivalence. Excludes cache writes, storage, search, tool fees and taxes; reports exclusion counts. Optional capacity filtering uses reviewed pricing input limits, not full context windows.
compare
compare_model_costs
Use when you already have 2–20 exact offer IDs and want their USD text-token subtotals for the same usage and pricing snapshot. Equal token counts are a comparison assumption, not equivalent tokenization of the same text. Returns supported results and per-offer exclusions. Excludes cache writes, storage, search, tool fees and taxes; does not rank quality. Use find_cheapest_models to search without a shortlist.
model
get_model_pricing
Use after list_models when you need the rates, tariff identity, sources and freshness of one exact offer, without calculating a workload. Supply the returned model_id. Prices are recorded USD text-token rates; expired or unreviewed rates are informational only. Use calculate_cost for a workload estimate.
models
list_models
Use first when you know a model name or provider but need exact pricing-offer IDs for pricing or calculations. Search recorded labels and API IDs; case, spacing and punctuation variants are accepted. Multiple tariffs are returned as separate choices. Defaults to current reviewed offers; check costing_supported before calculating. This discovers pricing offers, not model capability recommendations.
providers
list_providers
Use to discover provider IDs and catalogue coverage before filtering model searches. Returns distinct API model counts, offer counts and current supported input/output rate ranges in USD per million tokens. The two rate minima may belong to different offers. For a workload estimate use find_cheapest_models or calculate_cost; ranges are not capability rankings.
Endpoints
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://modelcostcomparison.com/api/v1/mcp | streamable-http | answering | 110 ms | 11 min ago |
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ModelCostComparison — questions
Answers built from our own checks of this server.
What can ModelCostComparison do?
It exposes 6 tools, read directly from the server on our last check. Among them: calculate_cost, compare_model_costs, find_cheapest_models, get_model_pricing, list_models, list_providers. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README.
How MCP servers expose tools in the first place →
Is ModelCostComparison working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 1 of 91 checks got a reply (1.1%), average response time 935 ms. The bar chart above shows every period we have measured.
The registry lists ModelCostComparison as active — why does it not respond?
The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.
How do I connect ModelCostComparison?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does ModelCostComparison need an API key?
No. ModelCostComparison completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 6 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is ModelCostComparison?
It answers our handshake in 935 ms on average, which is faster than 6% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is ModelCostComparison open source?
We cannot say either way: 0 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.