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mirrored listing x402 eip155:8453

Cheapest LLM leaderboard: the 50 lowest-cost AI models available anywhere right now, ranke

Cheapest LLM leaderboard: the 50 lowest-cost AI models available anywhere right now, ranked by inference cost per token across 70+ providers (OpenAI, Anthropic, Google, Meta, xAI, Mistral, DeepSeek). Input, output, cache and batch USD per 1M tokens, with context window and capability flags joined in. The one call that answers 'what is the cheapest model I can use?' Refreshed hourly.

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10000 (raw units)
price
1
calls / 30d
1
unique payers
2026-08-29
updated

Provider

modelprices.xyz · discovered, not yet claimed by its owner

Payment (x402 accepts[])

[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "payTo": "0x63a20fa244d3E6a8902121E99704b7F857dc6EBB",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "10000",
    "maxTimeoutSeconds": 300
  }
]

Output schema

{
  "bazaar": {
    "info": {
      "input": {
        "method": "GET",
        "queryParams": {},
        "type": "http"
      },
      "output": {
        "example": {
          "board": "Cheapest models overall",
          "generated_at": "2026-07-14T02:00:00.000Z",
          "model_count": 24,
          "models": [
            {
              "context_window": 200000,
              "id": "gemini-3-flash-lite",
              "input_per_mtok": 3,
              "output_per_mtok": 15,
              "provider": "anthropic"
            }
          ]
        },
        "type": "json"
      }
    },
    "schema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "properties": {
        "input": {
          "additionalProperties": false,
          "properties": {
            "method": {
              "enum": [
                "GET"
              ],
              "type": "string"
            },
            "queryParams": {
              "properties": {},
              "type": "object"
            },
            "type": {
              "const": "http",
              "type": "string"
            }
          },
          "required": [
            "type",
            "method"
          ],
          "type": "object"
        },
        "output": {
          "properties": {
            "example": {
              "type": "object"
            },
            "type": {
              "type": "string"
            }
          },
          "required": [
            "type"
          ],
          "type": "object"
        }
      },
      "required": [
        "input"
      ],
      "type": "object"
    }
  },
  "builder-code": {
    "info": {
      "a": "modelprices"
    },
    "schema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "additionalProperties": false,
      "properties": {
        "a": {
          "description": "App builder code",
          "pattern": "^[a-z0-9_]{1,32}$",
          "type": "string"
        },
        "s": {
          "description": "Service builder codes",
          "items": {
            "pattern": "^[a-z0-9_]{1,32}$",
            "type": "string"
          },
          "type": "array"
        },
        "w": {
          "description": "Wallet builder code",
          "pattern": "^[a-z0-9_]{1,32}$",
          "type": "string"
        }
      },
      "type": "object"
    }
  }
}

Use it

curl

curl "https://modelprices.xyz/llm/cheapest/overall"
# -> 402 Payment Required, accepts[] lists how to pay
# retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid

JavaScript

const res = await fetch("https://modelprices.xyz/llm/cheapest/overall");
if (res.status === 402) {
  const { accepts } = await res.json();
  // pay one of accepts[] via an x402 client, then retry with the payment header
}

Python

import httpx
res = httpx.get("https://modelprices.xyz/llm/cheapest/overall")
if res.status_code == 402:
    accepts = res.json()["accepts"]
    # pay one of accepts[] via an x402 client, then retry with the payment header

Machine-readable

Everything on this page is also available as clean JSON at /resources/10933.json, and this resource appears in /discovery/resources and /discovery/search.