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Agent Weather Cheapest Model Selector
x402
Agent Weather Cheapest Model Selector is a paid API for AI agents from api.agentweather.io, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-21).
Returns the lowest-priced OpenRouter AI model meeting specified constraints (context length, price caps, capabilities), plus a fallback model recommendation.
Price / call$0.003
Success—
StatusUnknown
How this service works
Use when an agent needs the lowest listed price among models meeting hard needs (context, price cap, capability), plus a fallback reading. Pre-flight reading: the AI model with the lowest listed price on OpenRouter among those meeting your needs (min_context, max_input_per_1m, max_output_per_1m, ma…
Output
Returns a structured response containing: the selected cheapest model (pick) meeting all constraints, a fallback model recommendation, a decision summary, the action to take, and the rules applied during filtering. All fields reflect current OpenRouter listed prices.
Example use cases
Budget-constrained coding agent model selection
“I need the cheapest model on OpenRouter that supports coding and structured output, has at least 16k context, and won't cost more than $0.50 per 1M input tokens — also skip any models retiring in the next 60 days.”
Vision pipeline cost optimization
“What's the lowest-priced vision-capable model on OpenRouter right now that also supports tool calls and has at least 64k context? Show me a fallback too in case the top pick isn't available.”
Job cost ceiling for batch processing
“I'm running a batch job that sends about 10k input tokens and 1k output tokens per request — find me the cheapest model where the total job cost stays under $0.05, and give me a fallback model as well.”
Technical details
Endpoint
GEThttps://api.agentweather.io/v1/decide/cheapest-model?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to programmatically select the cheapest viable AI model from OpenRouter before making an LLM call, especially when cost is a primary constraint and you need a reliable fallback. Prefer this over manual price-checking when filtering by multiple hard constraints (context window, capabilities, vendor allowlists/blocklists, per-job cost caps) simultaneously.
Side effects
- No models match the combined constraints — returns empty pick with explanation
- Invalid capability enum values cause parameter rejection
- Vendor name typos result in empty vendor filter matches
- Free-tier models excluded by default if include_free not set to true
- Model retiring within exclusion window filtered out silently
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"kind": "pre-flight reading: lowest listed price among models meeting your needs",
"pick": {
"id": "openai/gpt-oss-20b",
"name": "OpenAI: gpt-oss-20b",
"role": "pick",
"report": "https://api.agentweather.io/v1/models/report?id=openai/gpt-oss-20b",
"vendor": "openai",
"reasons": [
"lowest standard_job_cost_usd (0.00027) among 185 model(s) that met every filter"
],
"vendor_status": "operational",
"context_length": 131072,
"expiration_date": null,
"price_in_usd_per_1m": 0.018,
"capabilities_matched": [
"tools"
],
"price_out_usd_per_1m": 0.09,
"standard_job_cost_usd": 0.00027
},
"rules": {
"selection": "pick = minimum standard_job_cost_usd among models passing every filter (ties: i…",
"standard_job_cost_usd": "10,000 × pricing.prompt + 1,000 × pricing.completion (USD per token). A fixed r…"
},
"terms": "https://api.agentweather.io/v1/terms",
"action": "use_pick_keep_fallback",
"summary": "openai/gpt-oss-20b at $0.00027 per standard job (10k in + 1k out); fallback inc…",
"decision": "go",
"fallback": {
"id": "inclusionai/ling-3.0-flash-vl",
"name": "inclusionAI: Ling 3.0 Flash VL",
"role": "fallback",
"report": "https://api.agentweather.io/v1/models/report?id=inclusionai/ling-3.0-flash-vl",
"vendor": "inclusionai",
"reasons": [
"lowest-cost candidate from a different vendor than the pick (inclusionai vs ope…"
],
"vendor_status": "unknown",
"context_length": 262144,
"expiration_date": null,
"price_in_usd_per_1m": 0.021,
"capabilities_matched": [
"tools"
],
"price_out_usd_per_1m": 0.0616,
"vendor_status_reason": "no free JSON status endpoint is mapped for this vendor",
"standard_job_cost_usd": 0.0002716
},
"issued_at": "2026-10-13T06:36:10.433Z",
"disclaimer": "Recorded measurements as of issued_at; may be late, incomplete or wrong; not fi…",
"schema_version": "decide-0.1.0-draft"
}
}Tags
x402
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