See One AI Model’s Published Details

Look up what Artificial Analysis has published about one AI model: test scores, how much it can read and write at once, and prices when available. Start with its name or official model page link.

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Use my existing Toolmu connection, or follow https://toolmu.com/SKILL.md to connect.

Accept an AI model name or a direct official Artificial Analysis page for one model. Never ask me to provide an internal identifier or guess a model version. If I provide a model name, explain before any lookup that matching it can cost up to 0.012 credits and this detail lookup up to 0.012 credits; if both are needed, the combined maximum is 0.024 credits. Make no paid call unless my current authorization covers the amount. Use search-models-artificial-analysis once with the supplied name. If several versions match or the result is unclear, show the public model names and available creators and ask me to choose; do not show internal identifiers. If no model matches, ask for its official model page link.

After confirming one model version and spending authorization, call get-model-detail-artificial-analysis once using that version’s required identifier. If still processing, observe the same run without retrying. Summarize only information actually returned. Explain that the text limit covers both what is sent to and returned by the model; a provider may impose a lower output limit. Keep published token prices separate from the user’s bill and benchmark task cost. Keep scores with their test context and do not promise results on the user’s work. Mark missing information as unknown. Do not compare models, calculate a personal bill, or run a model test.

Task:
Find the published details for [AI model name or official Artificial Analysis model page link]. Summarize available test scores, how much the model can read and write at once, and its published prices. If several versions match, ask me to choose.

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Connection guide

Up to 0.012 credits / call

The final charge is based on confirmed usage. Unused reserved credits return to your available balance.

Artificial Analysis

See One AI Model’s Published Details

Look up what Artificial Analysis has published about one AI model: test scores, how much it can read and write at once, and prices when available. Start with its name or official model page link.

You receive

Available information may include test scores, the total amount of text the model can take in and produce at once, and published prices. Details vary by model; each score and price is kept with its test or pricing context.

Start with your task

Find the published details for [AI model name or official Artificial Analysis model page link]. Summarize available test scores, how much the model can read and write at once, and its published prices. If several versions match, ask me to choose.

What to know

These are published measurements, not a test of your prompt. Scores do not guarantee results for your work. Published prices are not your bill, and missing details do not mean the model does not exist.

Inputs & outputs

Inspect the current inputs, availability, and maximum charge before starting.

Input schema

Input schema
Field / Path	Type	Requirement	Meaning
Model lookup request`queryParams`	`object`	Required	Required request object containing the slug of the single model variant to look up. Required fields `slug`
Model variant slug`queryParams.slug`	`string`	Required	Required exact slug for one existing Artificial Analysis model variant. Supply its existing identifier rather than only a model display name; there is no default identifier.

View raw JSON

{
  "type": "object",
  "required": [
    "queryParams"
  ],
  "properties": {
    "queryParams": {
      "type": "object",
      "required": [
        "slug"
      ],
      "properties": {
        "slug": {
          "type": "string",
          "description": "Required exact slug for one existing Artificial Analysis model variant. Supply its existing identifier rather than only a model display name; there is no default identifier."
        }
      },
      "additionalProperties": false
    }
  },
  "additionalProperties": false
}

Result schema

Output fields have not been documented yet.

Additional notes

When interpreting a score, keep its benchmark name or version and the model variant’s evaluation setting where provided. Measurements made under different conditions do not establish a like-for-like comparison.

Artificial Analysis model-page reference · Third-party endpoint documentation

Questions about this tool.

Inputs, results and details to know before running it.

Get connected

Yes. You can also share the official page for one model. If a name matches several versions, the assistant shows you the names and asks you to choose. Matching by name may cost up to 0.012 credits; this detail lookup may use up to 0.012 credits. If both are needed, the combined maximum is 0.024 credits, and the assistant confirms your authorization before spending.

See One AI Model’s Published Details

See One AI Model’s Published Details

You receive

Start with your task

What to know

Inputs & outputs

Input schema

Result schema

Connect your Agent

Start with a model name

Use an official model page

Questions about this tool.

You receive

Start with your task

What to know

Inputs & outputs

Input schema

Result schema

Connect your Agent

Start with a model name

Use an official model page

Questions about this tool.

Can I enter a model name?

Does the text limit mean the model can write that much?

Are the published prices my actual bill?