ToolAssay

Pick the cheapest LLM that passes your task and constraints

Pick the cheapest LLM that passes your task and constraints. Give a task class and optional constraints such as minimum context, required tool-use, vision or reasoning, maximum input and output price per million tokens, a minimum coding benchmark and a provider filter, and get a ranked cheapest-first list of models that pass, plus a recommended pick and a deterministic rationale. Fused from open keyless catalogs LiteLLM, models dev and Aider with a citation on every model.

Answeringour last check, 2026-09-24
1 of 1checks answered this week
1016 msmedian answer time
$0.02listed price per call
$0.02price it asked us

Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.

Endpoint

GET https://api.agentstools.dev/model/route

CategoryMarket data
Provider hostapi.agentstools.dev
Networkseip155:8453
Payment schemesexact
Self-reported calls, 30 days1 from 1 payers (the provider's figure, not ours)

Our checks, last 30 days

DayResultHTTPAskedTime
2026-09-24 valid payment request 402$0.02 1016 ms

Example input (from the provider)

{
  "method": "GET",
  "queryParams": {
    "max_output_price": 10,
    "min_context": 200000,
    "needs_tools": true,
    "task": "coding"
  },
  "type": "http"
}

Promised output schema (from the provider)

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "input": {
      "additionalProperties": false,
      "properties": {
        "method": {
          "enum": [
            "GET",
            "HEAD",
            "DELETE"
          ],
          "type": "string"
        },
        "queryParams": {
          "properties": {
            "max_input_price": {
              "description": "Maximum input price in USD per million tokens.",
              "minimum": 0,
              "type": "number"
            },
            "max_output_price": {
              "description": "Maximum output price in USD per million tokens.",
              "minimum": 0,
              "type": "number"
            },
            "min_benchmark": {
              "description": "Minimum Aider coding pass rate percent.",
              "maximum": 100,
              "minimum": 0,
              "type": "number"
            },
            "min_context": {
              "description": "Minimum context window in tokens.",
              "minimum": 0,
              "type": "integer"
            },
            "needs_reasoning": {
              "description": "Require extended reasoning support.",
              "type": "boolean"
            },
            "needs_tools": {
              "description": "Require function or tool calling support.",
              "type": "boolean"
            },
            "needs_vision": {
              "description": "Require image or vision input support.",
              "type": "boolean"
            },
            "provider": {
              "description": "Optional provider filter such as anthropic or openai.",
              "type": "string"
            },
            "task": {
              "description": "The workload class to route for. Each class implies required capabilities and a sensible context floor that your explicit constraints override.",
              "enum": [
                "coding",
                "reasoning",
                "vision",
                "tool-use",
                "long-context",
                "cheap-chat",
                "general"
              ],
              "type": "string"
            }
          },
          "required": [
            "task"
          ],
          "type": "object"
        },
        "type": {
          "const": "http",
          "type": "string"
        }
      },
      "required": [
        "type",
        "method"
      ],
      "type": "object"
    },
    "output": {
      "properties": {
        "example": {
          "type": "object"
        },
        "type": {
          "type": "string"
        }
      },
      "required": [
        "type"
      ],
      "type": "object"
    }
  },
  "required": [
    "input"
  ],
  "type": "object"
}

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