Read the LMArena default leaderboard overview

Ask for LMArena’s default main-page ranking overview. Read the returned model names, positions, scores and votes, and keep any unavailable category or update information clear.

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Use Toolmu get-leaderboard-overview-lmarena to retrieve the default main-page ranking overview. Reuse a working Toolmu connection, or follow https://toolmu.com/SKILL.md to connect. Check current availability, requirements and the Credits ceiling, then execute within my authorization and budget. No extra input is documented; handle the request internally without asking me for technical fields or empty objects, and do not invent category, model, search, year, count or pagination controls. Apply an optional display-count preference only after retrieval. Read actual background information with the model records; when absent, leave category, source update time and method unspecified. Never classify the category from model names, keys or URLs. Show readable model names, ranks, scores, votes and useful actual reference links or organization labels in source order, retaining actual source identities internally. Preserve exact source ranking-range labels and values, including reversed numerical order, without inferring confidence. Keep missing details, blank labels, genuine zeros and distinct price measures separate; do not infer currency, units, current terms or free use. Report only this overview, without claiming all-category coverage, model execution, task evaluation, media generation or verified licensing. Bracketed optional example text is replaced by my own content.

Task:
Show the default LMArena ranking overview with the model names, ranks, scores and vote counts returned. Include category, update and method information only when supplied, and explain what remains unknown.

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Connection guide

Up to 0.12 credits / call

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

LMArena

Read the LMArena default leaderboard overview

Ask for LMArena’s default main-page ranking overview. Read the returned model names, positions, scores and votes, and keep any unavailable category or update information clear.

You receive

The default overview’s model records with names, organizations, reference links, ranks, scores, vote counts and any additional source information. The saved response supplies no background details identifying its category or update time.

Start with your task

Show the default LMArena ranking overview with the model names, ranks, scores and vote counts returned. Include category, update and method information only when supplied, and explain what remains unknown.

What to know

The overview does not identify a fixed category or prove that every Arena leaderboard is covered. Missing background information leaves update time and method unknown. It does not run models or test your task; rankings and prices do not establish suitability, current terms, currency or license rights. Keep missing prices and genuine zeros separate.

Inputs & outputs

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

Input schema

Input schema
Field / Path	Type	Requirement	Meaning
Optional query container`queryParams`	`object`	Optional	Open optional object with no documented named controls or defaults. Empty input was used for the saved overview request; category selection, model search, pagination and top-N parameters are not defined here.

View raw JSON

{
  "type": "object",
  "required": [],
  "properties": {
    "queryParams": {
      "type": "object",
      "properties": {},
      "additionalProperties": true
    }
  },
  "additionalProperties": false
}

Result schema

No fixed output contract is available. Field types reflect saved result evidence; individual responses can differ.

Result schema
Field / Path	Type	Meaning
Default overview model records`result.data.entries`	`array`	Returned main-page overview collection. The saved response has 48 records, without proving a fixed future count, every model or every category. Use actual metadata for context rather than deriving category from names.
Source model key`result.data.entries[].modelKey`	`string`	Exact identifier for a source entry. Keep it with the displayed name to distinguish versions or configurations; it does not itself identify the overview category.
Reported model name`result.data.entries[].modelDisplayName`	`string`	Original display name and configuration wording. Preserve it with modelKey without treating similar names as the same model or inferring a category from the wording.
Source organization label`result.data.entries[].modelOrganization`	`string`	Organization text reported for the entry. Three saved records have blank strings; preserve these blanks rather than inventing an organization or ownership.
Model reference URL`result.data.entries[].modelUrl`	`string`	Reference supplied with the source record. It does not establish this overview category, current model access, generated assets or verified licensing and price terms.
Source overview position`result.data.entries[].rank`	`number`	Integer position within the returned collection. It is not a combined all-category position or proof that the model is suitable for a particular task.
Reported source rating`result.data.entries[].rating`	`number`	Numerical source rating with no defined scale or calculation method here. Do not convert it into accuracy, task success or a probability.
Reported vote count`result.data.entries[].votes`	`number`	Integer source count with counting rules and population unspecified. It does not establish the number of unique people or successful model tasks.
Original rankLower`result.data.entries[].rankLower`	`number`	Literal source integer. It exceeds rankUpper in 47 of 48 saved records and equals it in one. Preserve both original labels and values without forcing a conventional ascending interval.
Original rankUpper`result.data.entries[].rankUpper`	`number`	Paired source integer under its original label. Do not swap it with rankLower or infer a confidence level; the source does not define that convention.
Source lower rating value`result.data.entries[].ratingLower`	`number`	Numerical source bound, at or below the saved rating. The response does not specify its estimation method or confidence level.
Source upper rating value`result.data.entries[].ratingUpper`	`number`	Numerical source bound, at or above the saved rating. Preserve the reported number without inventing statistical significance or a confidence percentage.
Reported per-second price value`result.data.entries[].pricePerSecond`	`null \| number`	Source number or null, with 32 numerical and 16 null values saved. The label does not specify currency, applicable model settings or billing conditions; missing is not free.
Reported input-price value`result.data.entries[].inputPricePerMillion`	`number \| null`	Eleven saved values are numerical, including ten literal zeros; 37 are null. Keep zero distinct from unknown. The per-million name does not establish currency, priced quantity, current terms or free service.
Reported output-price value`result.data.entries[].outputPricePerMillion`	`number \| null`	Separate source output-price field: eleven saved numbers and 37 nulls. Preserve unknowns and verify priced quantity, currency and applicable conditions before relying on a value.
Reported license label`result.data.entries[].license`	`string`	Source license name without verification of rights for your intended use. Read the actual applicable license separately; the label does not grant model access or permission.
Source release label`result.data.entries[].releaseType`	`null \| string`	Source string or null: two saved labels and 46 nulls. Label meanings are not defined here, and null does not confirm a released, unreleased or accessible model.
Overview background metadata`result.data.metadata`	`object`	The complete saved response contains an empty object here. It provides no category, source-update timestamp or method explanation. Keep the object empty rather than filling inferred background.

Additional notes

Read the default main-page leaderboard as returned by this overview endpoint. Empty input was used in the saved successful request, and the current contract has no required property. The optional query container does not document named category, search, model, pagination or top-N controls. It retrieves records without submitting a task to any listed model.

Inspect result.data.metadata alongside result.data.entries before explaining scope. The saved metadata is an empty object: it supplies no category label, leaderboard-update date or method description. Model names, configuration wording and reference links do not fill those gaps. The saved collection has 48 records, an observation rather than a complete model catalogue or fixed future count.

Compare source model keys, names, positions, ratings and votes within the returned collection. Preserve rankLower and rankUpper literally, even when the first value is larger, and keep rating bounds without inventing confidence coverage. Ten input-price values are reported as zero, while other prices are missing; neither confirms current free service. Currency, billing conditions, vote population and license rights require separate checking before you use a model for your own task.

Questions about this tool.

Inputs, results and details to know before running it.

Get connected

No complete coverage is established. It reads the default main-page records, and the saved response gives no category breakdown. Do not treat it as a combined ranking across every category or infer coverage from model names and links.

Read the LMArena default leaderboard overview

Read the LMArena default leaderboard overview

You receive

Start with your task

What to know

Inputs & outputs

Input schema

Result schema

Ask for the default overview

Read the returned model information

Check whether a model fits your task

Questions about this tool.

You receive

Start with your task

What to know

Inputs & outputs

Input schema

Result schema

Ask for the default overview

Read the returned model information

Check whether a model fits your task

Questions about this tool.

Does this overview cover every Arena category?

Can the run time stand in for the leaderboard update time?

Do a high score and zero price confirm a suitable free model?