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model-compare
x402
model-compare is a paid API for AI agents from payai.agentstools.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).
Compare 2–5 LLMs side by side, normalizing price, context window, capabilities, knowledge cutoff, and coding benchmark with cheapest/best/largest flags.
Price / call$0.01
Success—
StatusUnknown
How this service works
Compare two to five models side by side. Give a comma separated list of names or aliases and get each model normalized on price, context, capabilities, knowledge cutoff and coding benchmark, plus flags for the cheapest, the best benchmark and the largest context. Fused from open keyless catalogs with a citation on every model.
Output
A structured comparison of 2–5 LLMs with each model's normalized price, context window size, capabilities, knowledge cutoff date, and coding benchmark score. Includes flags identifying the cheapest model, the top benchmark performer, and the model with the largest context. Each model entry includes a citation to its source catalog.
Example use cases
Picking the cheapest capable model
“Compare GPT-4o-mini, Claude Haiku, and Gemini Flash for me — which one is cheapest and how do their coding benchmarks and context windows stack up?”
Choosing a model for a long-context task
“I need to process very long documents — can you compare Claude 3.5 Sonnet, Gemini 1.5 Pro, and GPT-4 Turbo to see which has the largest context window and what each costs?”
Evaluating coding assistant candidates
“I'm building a coding assistant and need to pick a model — compare GPT-4o, DeepSeek Coder, and Claude 3.5 Sonnet on their coding benchmarks, price per token, and knowledge cutoff dates.”
Technical details
Endpoint
GEThttps://payai.agentstools.dev/model/compareWhen to prefer
Use this endpoint when you need a normalized, multi-dimensional comparison of LLMs across price, context, benchmarks, and knowledge cutoff in a single call. Prefer it over manually querying individual provider pricing pages or leaderboards. Ideal for agents helping users select the right model for a task, for cost-optimization workflows, or for keeping model selection logic data-driven rather than hardcoded.
Side effects
- Fewer than 2 or more than 5 model names provided — returns validation error
- Unrecognized model name or alias — model may be omitted or return partial data
- Model not in any indexed catalog — missing fields or no citation available
- Malformed comma-separated input — parsing error returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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