LLM API Providers Leaderboard (Speed, Price & Benchmark Scores)
omnial/get-llm-providers-leaderboard
Returns the full LLM API providers leaderboard: every tracked model-endpoint combination (a model as served by a specific hosting provider), with its per-token pricing, response speed and latency percentiles, context window size, and a large set of benchmark scores (reasoning, coding, agentic, and general-knowledge evaluations) in one call.
Price
Up to $0.0137 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
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
// 1. search: find the tool
omnial_search({ query: "what you need" })
// 2. inspect: price and input schema
omnial_inspect({ tool: "omnial/get-llm-providers-leaderboard" })
// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "omnial/get-llm-providers-leaderboard" })
// 4. run: price the exact call first, then run it
omnial_execute({ tool: "omnial/get-llm-providers-leaderboard", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "omnial/get-llm-providers-leaderboard", input: { /* ... */ } })
// 5. settle: the call is charged when it finishes, nothing to doNot 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.
| Charge | Price |
|---|---|
Per call | $0.0137 |
- Updated
- Oct 27, 2026
Input and output schemas
Input schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}Output schema
{
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"endpoints": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "The endpoint's internal UUID, e.g. 'c9cbf21c-31b5-4147-a69f-a8a1d617b258' -- confirmed a UUID on every one of 1151 entries observed, not a phone number or any other personal identifier despite superficially digit-and-dash-heavy."
},
"host": {
"type": "object",
"properties": {
"logo": {
"type": "string",
"description": "Relative logo asset filename, e.g. 'novita_small.svg' -- not a fetchable URL."
},
"name": {
"type": "string",
"description": "Hosting provider's public company name, e.g. 'Novita', 'Google'."
},
"slug": {
"type": "string"
},
"color": {
"type": "string",
"description": "Hex color, e.g. '#5348EC'."
}
},
"additionalProperties": true
},
"label": {
"type": "string",
"description": "Human-readable model + variant label, e.g. 'GPT-5.2 Codex (xhigh)'."
},
"model": {
"type": "object",
"properties": {
"hle": {
"type": [
"number",
"null"
],
"description": "Benchmark score; null when not evaluated for this model."
},
"lcr": {
"type": [
"number",
"null"
],
"description": "Benchmark score; null when not evaluated for this model."
},
"gpqa": {
"type": [
"number",
"null"
],
"description": "Benchmark score; null when not evaluated for this model."
},
"slug": {
"type": "string"
},
"tau2": {
"type": [
"number",
"null"
],
"description": "Benchmark score; null when not evaluated for this model."
},
"aime25": {
"type": [
"number",
"null"
],
"description": "Benchmark score; null when not evaluated for this model."
},
"critpt": {
"type": [
"number",
"null"
],
"description": "Benchmark score; null when not evaluated for this model."
},
"creator": {
"type": "object",
"properties": {
"logo": {
"type": "string",
"description": "Relative logo asset filename -- not a fetchable URL."
},
"name": {
"type": "string",
"description": "Model creator/lab's public company name, e.g. 'Z AI', 'Google' -- not a person's identity."
}
},
"additionalProperties": true
},
"ifbench": {
"type": [
"number",
"null"
],
"description": "Benchmark score; null when not evaluated for this model."
},
"mmmuPro": {
"type": [
"number",
"null"
],
"description": "Benchmark score; null when not evaluated for this model."
},
"scicode": {
"type": [
"number",
"null"
],
"description": "Benchmark score; null when not evaluated for this model."
},
"briefcase": {
"type": [
"object",
"string"
],
"description": "Either an object `{ elo: number }` or, on some endpoints, the literal STRING \"null\" (not a JSON null) -- a data-quality quirk of the source."
},
"harveyLab": {
"type": [
"number",
"null"
],
"description": "Benchmark score; null when not evaluated for this model."
},
"sizeClass": {
"type": [
"string",
"null"
],
"description": "e.g. 'medium', 'large'; null when not classified for this model."
},
"apexAgents": {
"type": [
"number",
"null"
],
"description": "Benchmark score; null when not evaluated for this model."
},
"deprecated": {
"type": "boolean"
},
"itbenchSre": {
"type": [
"number",
"null"
],
"description": "Benchmark score; null when not evaluated for this model."
},
"tauBanking": {
"type": [
"number",
"null"
],
"description": "Benchmark score; null when not evaluated for this model."
},
"omniscience": {
"type": [
"number",
"null"
],
"description": "Benchmark score; null when not evaluated for this model."
},
"isOpenWeights": {
"type": "boolean"
},
"livecodebench": {
"type": [
"number",
"null"
],
"description": "Benchmark score; null when not evaluated for this model."
},
"reasoningModel": {
"type": "boolean"
},
"automationBench": {
"type": [
"number",
"null"
],
"description": "Benchmark score; null when not evaluated for this model."
},
"gdpvalNormalized": {
"type": [
"number",
"null"
],
"description": "Benchmark score; null when not evaluated for this model."
},
"terminalbenchV21": {
"type": [
"number",
"null"
],
"description": "Benchmark score; null when not evaluated for this model."
},
"terminalbenchV40": {
"type": [
"number",
"null"
],
"description": "Benchmark score; null when not evaluated for this model."
},
"intelligenceIndex": {
"type": [
"number",
"null"
],
"description": "Benchmark score; null when not evaluated for this model."
},
"terminalbenchHard": {
"type": [
"number",
"null"
],
"description": "Benchmark score; null when not evaluated for this model."
},
"omniscienceAccuracy": {
"type": [
"number",
"string"
],
"description": "Benchmark score, or the literal STRING \"null\" on some endpoints (not a JSON null) -- a data-quality quirk of the source."
},
"omniscienceNonHallucination": {
"type": [
"number",
"null"
],
"description": "Benchmark score; null when not evaluated for this model."
},
"intelligenceIndexIsEstimated": {
"type": "boolean"
}
},
"description": "Static model metadata plus ~20 benchmark score fields. Most benchmark fields were observed null for at least one endpoint in the one real call (a model not evaluated on that particular benchmark) -- treat every benchmark field as nullable, not guaranteed populated.",
"additionalProperties": true
},
"pricing": {
"type": "object",
"properties": {
"priceClass": {
"type": [
"string",
"null"
],
"description": "e.g. 'low', 'medium', 'high'; null when not classified for this endpoint."
},
"costPerTask": {
"type": [
"number",
"string"
],
"description": "USD, or the literal STRING \"null\" on some endpoints (not a JSON null) -- a data-quality quirk of the source."
},
"cacheHitPrice": {
"type": [
"number",
"null"
]
},
"cacheWritePrice": {
"type": [
"number",
"null"
]
},
"price1mInputTokens": {
"type": "number",
"description": "USD per 1M input tokens."
},
"price1mOutputTokens": {
"type": "number",
"description": "USD per 1M output tokens."
}
},
"additionalProperties": true
},
"features": {
"type": "object",
"properties": {
"jsonMode": {
"type": "boolean"
},
"functionCalling": {
"type": "boolean"
},
"openaiCompatible": {
"type": "boolean"
},
"contextWindowTokens": {
"type": "number"
}
},
"additionalProperties": true
},
"hostApiId": {
"type": "string",
"description": "The hosting provider's own API identifier for this model, e.g. 'zai-org/glm-4.5v' or 'gpt-5.2-codex' -- an API path/slug, not personal data."
},
"performance": {
"type": [
"object",
"string"
],
"properties": {
"medianReasoningTimeSeconds": {
"type": [
"number",
"null"
],
"description": "Null for a non-reasoning model or when not measured."
},
"medianOutputTokensPerSecond": {
"type": "number"
},
"medianTimeToFirstTokenSeconds": {
"type": "number"
},
"quartile25OutputTokensPerSecond": {
"type": "number"
},
"quartile75OutputTokensPerSecond": {
"type": "number"
},
"medianEndToEndResponseTimeSeconds": {
"type": "number"
},
"percentile05OutputTokensPerSecond": {
"type": "number"
},
"percentile95OutputTokensPerSecond": {
"type": "number"
},
"quartile25TimeToFirstTokenSeconds": {
"type": "number"
},
"quartile75TimeToFirstTokenSeconds": {
"type": "number"
},
"medianTimeToFirstAnswerTokenSeconds": {
"type": "number"
},
"percentile05TimeToFirstTokenSeconds": {
"type": "number"
},
"percentile95TimeToFirstTokenSeconds": {
"type": "number"
}
},
"description": "Speed/latency percentiles for this endpoint, or the literal STRING \"null\" on some endpoints (not a JSON null) when no timing data was collected -- a data-quality quirk of the source.",
"additionalProperties": true
}
},
"additionalProperties": true
},
"description": "1151 provider-model endpoint entries on the one real call observed."
}
},
"additionalProperties": true
},
"status": {
"type": "string",
"description": "'success' on the one real call observed."
}
},
"description": "The leaderboard payload.",
"additionalProperties": true
}