AI Model Benchmarks
Comprehensive performance comparison of Claude, GPT, and Gemini across all major AI benchmarks. Updated February 2026.
SWE-bench Leader
HumanEval Leader
GPQA Leader
Context Tokens
Coding Performance
SWE-bench Verified
Real-world GitHub issues resolution
HumanEval
Code generation accuracy
MBPP
Python programming tasks
Reasoning & Knowledge
GPQA Diamond
Graduate-level science questions
MMLU
Massive multitask language understanding
ARC-AGI-2
Abstract reasoning challenges
Context Handling
Context Window Size
Maximum token capacity
Context Recall
Accuracy at maximum context
Speed & Latency
Time to First Token
Response latency
Understanding the Benchmarks
SWE-bench Verified
Tests AI models on real-world GitHub issues from popular open-source projects. Models must understand code, identify bugs, and generate correct fixes. The "Verified" subset contains 500 carefully validated issues.
HumanEval
Hand-written programming problems that evaluate code generation from natural language descriptions. Each problem includes test cases to verify functional correctness.
GPQA Diamond
Graduate-level questions in physics, biology, and chemistry. Designed to be difficult enough that even PhD holders need to research before answering.
MMLU
57 subjects covering elementary mathematics to advanced law. Tests world knowledge and problem-solving ability across diverse domains.
Compare Models in Detail
Explore comprehensive comparisons between Claude and competing AI models.