Daily LLM leaderboard from independent benchmarks: ranks, scores, prices, speed and comparisons.
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What BenchLeader is, how the BenchLeader Index is computed, the current method version, data date and update cadence, coverage counts, licence and how to cite it.
This tool takes no arguments.
Pick your client. Values in capitals, like YOUR_TOKEN, are yours to fill in.
claude mcp add --transport http benchleader https://www.benchleader.com/mcp
What BenchLeader is, how the BenchLeader Index is computed, the current method version, data date and update cadence, coverage counts, licence and how to cite it.
No arguments.
{
"type": "object",
"properties": {},
"additionalProperties": false
}Head-to-head comparison of two models with BenchLeader's verdict: who leads on quality (a lead is claimed only outside the combined margin of error), price and speed ratios, category-by-category wins, when to choose each, and shared benchmark results. Links the comparison page.
| Argument | Type | Description |
|---|---|---|
| model_a* | string | First model: id, configuration id, page URL or name. |
| model_b* | string | Second model: id, configuration id, page URL or name. |
| effort_a | string | Reasoning effort for model_a (defaults to its best-ranked configuration). |
| effort_b | string | Reasoning effort for model_b (defaults to its best-ranked configuration). |
{
"type": "object",
"required": [
"model_a",
"model_b"
],
"properties": {
"model_a": {
"type": "string",
"description": "First model: id, configuration id, page URL or name."
},
"model_b": {
"type": "string",
"description": "Second model: id, configuration id, page URL or name."
},
"effort_a": {
"type": "string",
"description": "Reasoning effort for model_a (defaults to its best-ranked configuration)."
},
"effort_b": {
"type": "string",
"description": "Reasoning effort for model_b (defaults to its best-ranked configuration)."
}
},
"additionalProperties": false
}One benchmark: what it measures, unit, publisher and source, whether and how much it counts in the BenchLeader Index, status and caveats, and its top models (one row per model, best result first).
| Argument | Type | Description |
|---|---|---|
| limit | integer | How many top models to return (at most 25). |
| benchmark* | string | Benchmark id ("gpqa_diamond"), name ("SWE-bench Verified"), alias or page URL. |
{
"type": "object",
"required": [
"benchmark"
],
"properties": {
"limit": {
"type": "integer",
"default": 10,
"maximum": 25,
"minimum": 1,
"description": "How many top models to return (at most 25)."
},
"benchmark": {
"type": "string",
"description": "Benchmark id (\"gpqa_diamond\"), name (\"SWE-bench Verified\"), alias or page URL."
}
},
"additionalProperties": false
}The BenchLeader Index leaderboard of large language models: a daily composite of independent public benchmarks, one row per model (its best reasoning-effort configuration) as on the homepage. Optionally rank by one category score (coding, agentic, reasoning, math, knowledge…), list every model × effort configuration, or filter to open-weights models or one developer. Paged.
| Argument | Type | Description |
|---|---|---|
| limit | integer | How many rows to return (at most 100). |
| offset | integer | Rows to skip, for paging (use next_offset from the previous page). |
| category | string | Rank by this category score instead of the overall Index, e.g. coding, agentic, reasoning, math, knowledge, instruction, multimodal, long_context. |
| developer | string | Only models from this developer, e.g. OpenAI, Anthropic, Google, DeepSeek. |
| configurations | boolean | List every ranked model × reasoning-effort configuration rather than one row per model. |
| open_weights_only | boolean | Only models with downloadable weights. |
{
"type": "object",
"properties": {
"limit": {
"type": "integer",
"default": 20,
"maximum": 100,
"minimum": 1,
"description": "How many rows to return (at most 100)."
},
"offset": {
"type": "integer",
"default": 0,
"minimum": 0,
"description": "Rows to skip, for paging (use next_offset from the previous page)."
},
"category": {
"type": "string",
"description": "Rank by this category score instead of the overall Index, e.g. coding, agentic, reasoning, math, knowledge, instruction, multimodal, long_context."
},
"developer": {
"type": "string",
"description": "Only models from this developer, e.g. OpenAI, Anthropic, Google, DeepSeek."
},
"configurations": {
"type": "boolean",
"default": false,
"description": "List every ranked model × reasoning-effort configuration rather than one row per model."
},
"open_weights_only": {
"type": "boolean",
"default": false,
"description": "Only models with downloadable weights."
}
},
"additionalProperties": false
}One model's BenchLeader profile: Index and rank, category scores, list price, speed, latency, context window, its other reasoning-effort configurations, and its strongest independent benchmark results (each with its board rank, publisher and source link).
| Argument | Type | Description |
|---|---|---|
| model* | string | Model id ("claude-opus-5-5"), configuration id ("gpt-6-astra@max"), page URL or name. |
| effort | string | Reasoning-effort configuration to show (none, low, medium, high, xhigh, max…). Defaults to the best-ranked one. |
| results_limit | integer | How many benchmark results to return (at most 50). |
{
"type": "object",
"required": [
"model"
],
"properties": {
"model": {
"type": "string",
"description": "Model id (\"claude-opus-5-5\"), configuration id (\"gpt-6-astra@max\"), page URL or name."
},
"effort": {
"type": "string",
"description": "Reasoning-effort configuration to show (none, low, medium, high, xhigh, max…). Defaults to the best-ranked one."
},
"results_limit": {
"type": "integer",
"default": 10,
"maximum": 50,
"minimum": 1,
"description": "How many benchmark results to return (at most 50)."
}
},
"additionalProperties": false
}The benchmarks BenchLeader reads: what each measures, publisher, category, whether it feeds the Index (and its weight), how many models it covers, status and caveats. Filter by category or a search query. Paged.
| Argument | Type | Description |
|---|---|---|
| limit | integer | How many benchmarks to return (at most 100). |
| query | string | Search benchmark names, ids, aliases and publishers ("swe-bench", "arc", "epoch"). |
| offset | integer | Rows to skip, for paging (use next_offset from the previous page). |
| category | string | Only this category, e.g. coding, agentic, reasoning, math, knowledge. |
| in_index_only | boolean | Only benchmarks that feed the BenchLeader Index. |
{
"type": "object",
"properties": {
"limit": {
"type": "integer",
"default": 50,
"maximum": 100,
"minimum": 1,
"description": "How many benchmarks to return (at most 100)."
},
"query": {
"type": "string",
"description": "Search benchmark names, ids, aliases and publishers (\"swe-bench\", \"arc\", \"epoch\")."
},
"offset": {
"type": "integer",
"default": 0,
"minimum": 0,
"description": "Rows to skip, for paging (use next_offset from the previous page)."
},
"category": {
"type": "string",
"description": "Only this category, e.g. coding, agentic, reasoning, math, knowledge."
},
"in_index_only": {
"type": "boolean",
"default": false,
"description": "Only benchmarks that feed the BenchLeader Index."
}
},
"additionalProperties": false
}Find models by name, alias, id or developer ("opus", "gemini 4", "deepseek"). Returns each match's id, rank, Index and reasoning-effort configurations, for use with get_model and compare_models.
| Argument | Type | Description |
|---|---|---|
| limit | integer | How many matches to return (at most 25). |
| query* | string | Model name, alias, id or developer. |
{
"type": "object",
"required": [
"query"
],
"properties": {
"limit": {
"type": "integer",
"default": 10,
"maximum": 25,
"minimum": 1,
"description": "How many matches to return (at most 25)."
},
"query": {
"type": "string",
"description": "Model name, alias, id or developer."
}
},
"additionalProperties": false
}We read every tool's name, description and inputs the way the model will, looking for instructions hidden from you. A clean result means no warning signs, not a guarantee. Scanned Oct 31, 2026.