reasoning benchmark
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
Higher score ranks better on this benchmark.
| 01 | AC | 49.6% | 100.0% | 1 | C |
The leading models and scores on this benchmark.
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.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about BigCodeBench-Full.
Qwen2.5-Coder 32B Instruct is currently ranked first with 49.6%.
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.
Yes. Higher values rank better for this benchmark.
1 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.