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Leaderboards/Models

LiveCodeBench

LiveCodeBench (LCB) only evaluates models on problems published after their training cutoff, eliminating the contamination concern that plagues HumanEval and MBPP. The "honest" code benchmark — top scores are 10–20 points lower than HumanEval because nothing is memorized.

Category: coding · Source: livecodebench.github.io

#ModelScoreSettingMeasuredSource
01Anthropic logoClaude 4.7 Opus

Anthropic

80.2%pass@1, post-cutoffApr 30, 2026link ↗
02OpenAI logoGPT-5.5

OpenAI

78.9%pass@1, post-cutoffApr 30, 2026link ↗
03Google logoGemini 3 Pro

Google

76.1%pass@1, post-cutoffApr 30, 2026link ↗
04OpenAI logoGPT-5

OpenAI

74.5%pass@1, post-cutoffSep 15, 2025link ↗
05Anthropic logoClaude 4.6 Sonnet

Anthropic

73.8%pass@1, post-cutoffFeb 28, 2026link ↗
06DeepSeek logoDeepSeek-V4-Pro

DeepSeek

72.4%pass@1, post-cutoffApr 30, 2026link ↗
07Alibaba logoQwen3.7-Max

Alibaba

71.0%pass@1, post-cutoffMay 20, 2026link ↗
08xAI logoGrok 4

xAI

65.3%pass@1, post-cutoffJul 15, 2025link ↗

Other model leaderboards

  • gpt.buzz Composite Model Index — cross-benchmark ranking
  • MMLU-ProMultitask language understanding across 14 disciplines — the harder, contamination-resistant successor to MMLU. 10-option multiple choice with stronger distractors.
  • GPQA DiamondPhD-level science questions in biology, physics, and chemistry, written by domain experts. The hardest subset of GPQA — humans with PhDs in the subject score ~65%.
  • HumanEvalOpenAI's 164 Python programming problems with hidden unit tests — the classic code-generation pass@1 benchmark.
  • Aider PolyglotMulti-language code edit benchmark — solve real Exercism problems across Python, JavaScript, Rust, Go, Java, C++ via edit-and-test loops.
  • AIME 2025American Invitational Mathematics Examination — competition math problems requiring multi-step reasoning. Reasoning-tier models score in the 90s; non-reasoning in the 50s.
  • MMMUMassive Multi-discipline Multimodal Understanding — 11.5k college-level multimodal questions across 30 subjects (art, business, science, medicine, etc.).