reasoning benchmark
BigCodeBench evaluates LLM code generation involving multiple function calls from 139 libraries and 7 domains across 1,140 fine-grained programming tasks.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelGO | Score45.40% | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score41.00% | Percentile0.00% | Participants2 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What BigCodeBench measures and how its scores work.
BigCodeBench is a benchmark with two variants: Complete, which uses comprehensive docstrings for code completion, and Instruct, which uses natural language instructions to generate code.
It measures code generation with diverse function calls and complex instructions using the Score metric, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about BigCodeBench.
Gemini Diffusion is currently ranked first with 45.40%.
The current leaders are Gemini Diffusion (45.40%) and Qwen2.5-Coder 7B Instruct (41.00%).
Qwen2.5-Coder 7B Instruct has the lowest matched official input price at $0.14 input / $0.29 output per 1M tokens.
No matched runtime record is currently available.
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures code generation with diverse function calls and complex instructions using the Score metric, reported as a ratio.
Yes. Higher values rank better for this benchmark.
2 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis bigcodebench AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Gemini Diffusion currently leads BigCodeBench with 45.40%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.