LLM Benchmark Leaderboard Scraper - AI Model Performance Data avatar

LLM Benchmark Leaderboard Scraper - AI Model Performance Data

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LLM Benchmark Leaderboard Scraper - AI Model Performance Data

LLM Benchmark Leaderboard Scraper - AI Model Performance Data

Scrape LLM benchmark leaderboards from Artificial Analysis. Get model names, intelligence scores, coding scores, speed metrics, pricing, and provider information. Essential for AI researchers, model selectors, and tech analysts.

Pricing

Pay per usage

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Developer

Julian Bracaglia

Julian Bracaglia

Maintained by Community

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2

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1

Monthly active users

7 days ago

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LLM Benchmark Leaderboard Scraper

Scrape AI model benchmark data from leading LLM evaluation platforms. Get intelligence scores, coding performance, speed metrics, pricing, and provider information for every major AI model.

Features

  • Multiple sources: Artificial Analysis (comprehensive benchmarks) and Open LLM Leaderboard (HuggingFace)
  • Intelligence Index: Overall model performance scores
  • Coding Index: Code generation capability scores
  • Speed metrics: Output tokens per second
  • Pricing data: Input and output token costs per model
  • Model metadata: Parameters, context length, license, open-source status

Input

FieldTypeDefaultDescription
sourceselectartificialanalysisData source: artificialanalysis, open-llm-leaderboard, or all
limitinteger50Max number of models to return (1-500)

Sample Input

{
"source": "artificialanalysis",
"limit": 100
}

Output

{
"source": "artificialanalysis",
"model_name": "GPT-5.6 Sol",
"organization": "OpenAI",
"intelligence_index": 85.2,
"coding_index": 82.1,
"speed": 125.5,
"input_price": 15.0,
"output_price": 60.0,
"open_source": false,
"context_length": 128000,
"parameters": "",
"license": "",
"scraped_at": "2026-07-14T20:00:00.000Z"
}

Use Cases

  • AI model selection: Compare models before choosing one for your project
  • Market intelligence: Track which AI labs are winning the benchmark race
  • Content creation: Generate "top AI models" articles and videos with real data
  • Investment research: Monitor AI landscape trends for investment signals
  • Cost optimization: Find the best price/performance ratio for your use case
  • Research: Track benchmark progress over time

Pricing

Pay-per-result: $1.00 per 1,000 results