AI Leaderboard

AI Model Leaderboard

AI Model Performance Leaderboard

Live Updates • Refreshes Every 24 Hours

Track the latest AI model performance across different benchmarks. This leaderboard is updated regularly using multiple trusted data sources and DeepSeek API evaluations.

Rank Model Category Overall Score Trend
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Data Sources & Methodology

📊 Primary Data Sources

Hugging Face Open LLM Leaderboard
ARC, HellaSwag, MMLU, TruthfulQA benchmarks
API Updated Daily
LMSYS Chatbot Arena
Human preference rankings & Elo ratings
Crowdsourced Live Data
DeepSeek API Evaluations
Custom benchmarks using your credits
Direct API DeepSeek
Papers with Code
Research paper benchmarks & SOTA tracking
Academic Peer-Reviewed
🔄 Update Frequency
  • Automatic Updates: Every 24 hours
  • Manual Refresh: Available anytime
  • DeepSeek Evaluations: Weekly runs
  • Emergency Updates: For major model releases
📈 Scoring Methodology
  • Overall Score: Weighted average of 5 benchmarks
  • MMLU (25%): General knowledge
  • HumanEval (25%): Coding capability
  • GSM8K (20%): Mathematical reasoning
  • ARC (15%): Complex question answering
  • LMSYS Elo (15%): Human preference
🔍 Verification Process
  • Cross-reference multiple sources
  • Validate with DeepSeek custom evaluations
  • Peer review for major changes
  • Transparency in scoring adjustments
⚡ Live Features
  • Real-time data fetching
  • Manual refresh capability
  • Update status indicators
  • Change tracking & trend analysis

About This Leaderboard

This AI Model Leaderboard provides transparent, multi-source benchmarking of the latest AI models. We combine data from reputable academic sources, crowd-sourced rankings, and our own evaluations using DeepSeek API.

Transparency Commitment: We believe in open methodology and clear data sourcing. All scores are calculated using published methodologies, and we welcome community verification.

DeepSeek Powered This leaderboard utilizes your DeepSeek API credits for custom evaluations and verification runs, ensuring independent assessment of model capabilities.

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