reasoning benchmark
BigCodeBench-Full Leaderboard
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 17, 2026
Models1
Model coverage1
MetricScore
EvidenceB
BigCodeBench-Full Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score49.6% | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
BigCodeBench-Full Highlights
The leading models and scores on this benchmark.
The Top AI Models for BigCodeBench-Full
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis bigcodebench-full AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01ACQwen2.5-Coder 32B InstructAlibaba Cloud / Qwen Team
- Score
- 49.6%
- Speed
- Up to 110 tok/s via Fireworks
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures BigCodeBench-Full, not total model capability
Selection summary
Best AI Models for BigCodeBench-Full
Qwen2.5-Coder 32B Instruct currently leads BigCodeBench-Full with 49.6%. 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.
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.