LLM Benchmarks & Performance
Compare the latest performance data from leading AI models across key benchmarks. Data sourced from official releases, research papers, and verified leaderboards.
Understanding the Benchmarks
MMLU
Massive Multitask Language Understanding - tests knowledge across 57 academic subjects
HumanEval
Coding benchmark measuring ability to generate correct Python functions
GPQA
Graduate-level Google-Proof Q&A in biology, physics, and chemistry
LMSys Arena
Real-world human preference ratings from head-to-head comparisons
Google Gemini 2.5 Pro
by Google DeepMindUpdated 15/01/2025
Benchmark Scores
Strengths
- •Multimodal reasoning
- •Real-time processing
- •Agent capabilities
Limitations
- •Limited availability
- •API costs
OpenAI GPT-4o
by OpenAIUpdated 10/01/2025
Benchmark Scores
Strengths
- •Code generation
- •Voice capabilities
- •Creative tasks
Limitations
- •Context length limitations
- •Cost for high usage
Anthropic Claude 3.5 Sonnet
by AnthropicUpdated 05/01/2025
Benchmark Scores
Strengths
- •Computer use
- •Long context
- •Safety focus
Limitations
- •Image generation limitations
- •Regional availability
xAI Grok 3
by xAIUpdated 20/12/2024
Benchmark Scores
Strengths
- •Real-time data
- •Mathematical reasoning
- •X integration
Limitations
- •Limited access
- •Newer model with less data
Meta Llama 3.3 70B
by MetaUpdated 28/12/2024
Benchmark Scores
Strengths
- •Open source
- •Cost effective
- •Fine-tuning friendly
Limitations
- •Requires infrastructure
- •Lower performance than closed models
DeepSeek V3
by DeepSeekUpdated 15/12/2024
Benchmark Scores
Strengths
- •Cost efficiency
- •Sparse attention
- •Strong coding
Limitations
- •Less multimodal capability
- •Limited brand recognition
Data Sources & Citations
Our benchmark data comes from verified sources and official publications:
Last updated: January 2025. Benchmark scores may vary based on evaluation methodology and test conditions.
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