reasoning benchmark
BigCodeBench
A benchmark that challenges LLMs to invoke multiple function calls as tools from 139 libraries and 7 domains for 1,140 fine-grained programming tasks. Evaluates code generation with diverse function calls and complex instructions, featuring two variants: Complete (code completion based on comprehensive docstrings) and Instruct (generating code from natural language instructions).
Updated Aug 11, 2026
Models2
Model coverage2
MetricScore
EvidenceB
BigCodeBench Ranking
Higher score ranks better on this benchmark.
| 1 | GO | 45.4% | 100.0% | 2 | C | |
| 2 | AC | 41.0% | 0.0% | 2 | C |
BigCodeBench Score Distribution
A closer view of the leading scores on this benchmark.
BigCodeBench Highlights
The leading models and scores on this benchmark.
What is BigCodeBench?
What BigCodeBench measures and how its scores work.
A benchmark that challenges LLMs to invoke multiple function calls as tools from 139 libraries and 7 domains for 1,140 fine-grained programming tasks. Evaluates code generation with diverse function calls and complex instructions, featuring two variants: Complete (code completion based on comprehensive docstrings) and Instruct (generating code from natural language instructions).
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- BigCodeBench
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- bigcodebench|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about BigCodeBench.
Which model scores highest on BigCodeBench?
Gemini Diffusion is currently ranked first with 45.4%.
What does BigCodeBench measure?
A benchmark that challenges LLMs to invoke multiple function calls as tools from 139 libraries and 7 domains for 1,140 fine-grained programming tasks. Evaluates code generation with diverse function calls and complex instructions, featuring two variants: Complete (code completion based on comprehensive docstrings) and Instruct (generating code from natural language instructions).
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
2 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.