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reasoning benchmark

BigCodeBench-Full

A comprehensive benchmark that evaluates large language models' ability to solve complex, practical programming tasks via code generation. Contains 1,140 fine-grained tasks across 7 domains using function calls from 139 libraries. Challenges LLMs to invoke multiple function calls as tools and handle complex instructions for realistic software engineering and general-purpose reasoning tasks.

Updated Aug 11, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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BigCodeBench-Full Ranking

Higher score ranks better on this benchmark.

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01ACQwen2.5-Coder 32B InstructAlibaba Cloud / Qwen Team49.6%100.0%1CAug 11, 2026

BigCodeBench-Full Highlights

The leading models and scores on this benchmark.

Rank #1Qwen2.5-Coder 32B Instruct49.6%

What is BigCodeBench-Full?

What BigCodeBench-Full measures and how its scores work.

A comprehensive benchmark that evaluates large language models' ability to solve complex, practical programming tasks via code generation. Contains 1,140 fine-grained tasks across 7 domains using function calls from 139 libraries. Challenges LLMs to invoke multiple function calls as tools and handle complex instructions for realistic software engineering and general-purpose reasoning tasks.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
BigCodeBench-Full
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
bigcodebench-full|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about BigCodeBench-Full.

Which model scores highest on BigCodeBench-Full?

Qwen2.5-Coder 32B Instruct is currently ranked first with 49.6%.

What does BigCodeBench-Full measure?

A comprehensive benchmark that evaluates large language models' ability to solve complex, practical programming tasks via code generation. Contains 1,140 fine-grained tasks across 7 domains using function calls from 139 libraries. Challenges LLMs to invoke multiple function calls as tools and handle complex instructions for realistic software engineering and general-purpose reasoning tasks.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

1 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.