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Eden Engine

AI Model Cost Per Task Benchmark (by Model Slug)

omnial/get-model-cost-per-task

Given a model slug, returns that model's cost-per-task benchmark: the average dollar cost of running a standard task (with a breakdown by input/output/reasoning/cache tokens), token counts, response timing, an intelligence-index score, and a coding-specific cost and timing variant where the benchmark has evaluated one.

activeper callv2

Price

Up to $0.137 per call; you pay what the call used

You pay the price shown. If a call turns out to cost more than its quote, you pay the actual price, capped at twice the quote. No monthly minimum. Top-ups start at $5.00.

Data source

Artificial Analysis

Data from Artificial Analysis.

Use it

Your AI assistant does the work: it finds this tool, shows you the price first, runs it, and you are charged when the run finishes. There is nothing to set up for this tool in particular.

Connect once and your AI can find and run this tool, and any other it needs.

For developers: the calls your assistant makes
agent
// 1. search: find the tool
omnial_search({ query: "what you need" })

// 2. inspect: price and input schema
omnial_inspect({ tool: "omnial/get-model-cost-per-task" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "omnial/get-model-cost-per-task" })

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "omnial/get-model-cost-per-task", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "omnial/get-model-cost-per-task", input: { /* ... */ } })

// 5. settle: the call is charged when it finishes, nothing to do

Not connected yet? Point your MCP client at https://mcp.eden-engine.com/mcp, then copy a config for your client.

Pricing

Every charge this tool can incur.

ChargePrice
Per call
$0.137
Updated
Oct 27, 2026

Input and output schemas

Input schema
input_schema.json
{
  "type": "object",
  "required": [
    "slug"
  ],
  "properties": {
    "slug": {
      "type": "string",
      "description": "The model slug identifying the model (e.g., 'gpt-5-6-sol', 'gpt-5-6-terra-high', 'claude-sonnet-4')"
    }
  },
  "additionalProperties": false
}
Output schema
output_schema.json
{
  "type": "object",
  "properties": {
    "data": {
      "type": "object",
      "properties": {
        "model": {
          "type": "object",
          "properties": {
            "name": {
              "type": "string",
              "description": "Full display name, e.g. 'GPT-5.6 Sol (max)'."
            },
            "slug": {
              "type": "string",
              "description": "The model slug, echoing the input."
            },
            "ttft": {
              "type": "number",
              "description": "Time to first token, seconds."
            },
            "short_name": {
              "type": "string",
              "description": "Short display name; identical to `name` on the one real call observed."
            },
            "coding_index": {
              "type": [
                "number",
                "null"
              ],
              "description": "Coding-specific benchmark score; null on the one real call observed -- not every model has a coding-specific evaluation."
            },
            "cost_per_task": {
              "type": "number",
              "description": "USD, average total cost to run the benchmark's standard task."
            },
            "time_per_task": {
              "type": "number",
              "description": "Seconds, average total time to complete the standard task."
            },
            "intelligence_index": {
              "type": "number",
              "description": "The benchmark's aggregate reasoning/quality score for this model."
            },
            "coding_cost_per_task": {
              "type": [
                "number",
                "null"
              ],
              "description": "USD, coding-task variant of `cost_per_task`; null when not evaluated."
            },
            "coding_time_per_task": {
              "type": [
                "number",
                "null"
              ],
              "description": "Seconds, coding-task variant of `time_per_task`; null when not evaluated."
            },
            "input_tokens_per_task": {
              "type": "number"
            },
            "output_tokens_per_task": {
              "type": "number"
            },
            "cost_per_task_breakdown": {
              "type": "object",
              "properties": {
                "cache_hit": {
                  "type": "number"
                },
                "cache_write": {
                  "type": "number"
                },
                "input_tokens": {
                  "type": "number"
                },
                "output_tokens": {
                  "type": "number"
                },
                "reasoning_tokens": {
                  "type": "number"
                }
              },
              "description": "USD contribution of each token category to `cost_per_task`.",
              "additionalProperties": true
            },
            "end_to_end_response_time": {
              "type": "number",
              "description": "Seconds."
            },
            "reasoning_tokens_per_task": {
              "type": "number"
            },
            "coding_cost_per_task_breakdown": {
              "type": [
                "object",
                "null"
              ],
              "description": "Coding-task variant of `cost_per_task_breakdown`; null when not evaluated. Shape unconfirmed beyond null since no populated example was captured.",
              "additionalProperties": true
            }
          },
          "additionalProperties": true
        }
      },
      "additionalProperties": true
    },
    "status": {
      "type": "string",
      "description": "'success' on the one populated real call observed."
    }
  },
  "description": "The cost-per-task record.",
  "additionalProperties": true
}