The Aggregate — LLM benchmark aggregate

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ai.theaggregate/the-aggregatev1.0.2 Domain verified

LLM rankings from public benchmarks, model comparisons and source-linked results. Updated daily.

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about_the_aggregate Read-only

What this data is: how the IRT fusion works, current coverage counts, update cadence, and how to cite it.

This tool takes no arguments.

Tools (8)

about_the_aggregate

What this data is: how the IRT fusion works, current coverage counts, update cadence, and how to cite it.

read-only

No arguments.

Input schema (JSON)

{
  "type": "object",
  "properties": {}
}

compare_models

Head-to-head between 2-4 models: aggregate ranks, rating gap with a significance note based on the standard errors, and notable benchmarks they share.

read-only

Argument	Type	Description
models*	array	Two to four model names or slugs.

Input schema (JSON)

{
  "type": "object",
  "required": [
    "models"
  ],
  "properties": {
    "models": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 4,
      "minItems": 2,
      "description": "Two to four model names or slugs."
    }
  }
}

get_benchmark

One benchmark in depth: what it measures, the original source leaderboard URL, IRT stats (difficulty, noise, model coverage), skill weights, and the current top models on it.

read-only

Argument	Type	Description
top	number	How many top models to list (1-50, default 10).
benchmark*	string	Benchmark name or slug, e.g. "Aider polyglot".

Input schema (JSON)

{
  "type": "object",
  "required": [
    "benchmark"
  ],
  "properties": {
    "top": {
      "type": "number",
      "description": "How many top models to list (1-50, default 10)."
    },
    "benchmark": {
      "type": "string",
      "description": "Benchmark name or slug, e.g. \"Aider polyglot\"."
    }
  }
}

get_leaderboard

Top of the cross-benchmark aggregate ranking: every model placed on one rating scale by an IRT model fit over public benchmark leaderboards (call about_the_aggregate for the current coverage counts). One row per model by default, fused across reasoning-effort settings. Supports paging via limit/offset.

read-only

Argument	Type	Description
limit	number	Rows to return (1-100, default 25).
offset	number	Rows to skip from the top (default 0).
include_variants	boolean	Rank each reasoning-effort variant separately (e.g. "Claude Opus 4.6 (High)") instead of one fused row per model. Default false.

Input schema (JSON)

{
  "type": "object",
  "properties": {
    "limit": {
      "type": "number",
      "description": "Rows to return (1-100, default 25)."
    },
    "offset": {
      "type": "number",
      "description": "Rows to skip from the top (default 0)."
    },
    "include_variants": {
      "type": "boolean",
      "description": "Rank each reasoning-effort variant separately (e.g. \"Claude Opus 4.6 (High)\") instead of one fused row per model. Default false."
    }
  }
}

get_model

One model in depth: aggregate rank, Aggregate Rating with standard error, provider, what it is, cost per task where known, and its most notable benchmark results (with percentiles).

read-only

Argument	Type	Description
model*	string	Model name or slug, e.g. "Claude Opus 4.5" or "gpt-5-5".

Input schema (JSON)

{
  "type": "object",
  "required": [
    "model"
  ],
  "properties": {
    "model": {
      "type": "string",
      "description": "Model name or slug, e.g. \"Claude Opus 4.5\" or \"gpt-5-5\"."
    }
  }
}

get_prediction_duel

Guesswork — the public prediction duel: every day frontier LLMs and The Aggregate's own IRT model predict newly scraped benchmark scores before seeing them, and the errors are scored. Returns the current monthly standings, wins and losses included.

read-only

No arguments.

Input schema (JSON)

{
  "type": "object",
  "properties": {}
}

search_benchmarks

Find benchmarks in the aggregate by (partial) name. Returns model coverage, difficulty on the rating scale, and the benchmark page URL.

read-only

Argument	Type	Description
limit	number	Max results (1-25, default 10).
query*	string	Benchmark name fragment, e.g. "swe-bench" or "arena".

Input schema (JSON)

{
  "type": "object",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "number",
      "description": "Max results (1-25, default 10)."
    },
    "query": {
      "type": "string",
      "description": "Benchmark name fragment, e.g. \"swe-bench\" or \"arena\"."
    }
  }
}

search_models

Find ranked models by (partial) name or provider. Returns rank, Aggregate Rating and the model page URL. One row per model by default, fused across reasoning-effort settings.

read-only

Argument	Type	Description
limit	number	Max results (1-25, default 10).
query*	string	Model or provider name fragment, e.g. "opus" or "deepseek".
include_variants	boolean	Return each reasoning-effort variant separately (e.g. "Claude Opus 4.6 (High)") instead of one fused row per model. Default false.

Input schema (JSON)

{
  "type": "object",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "number",
      "description": "Max results (1-25, default 10)."
    },
    "query": {
      "type": "string",
      "description": "Model or provider name fragment, e.g. \"opus\" or \"deepseek\"."
    },
    "include_variants": {
      "type": "boolean",
      "description": "Return each reasoning-effort variant separately (e.g. \"Claude Opus 4.6 (High)\") instead of one fused row per model. Default false."
    }
  }
}