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HomeBenchmarksreasoningBigCodeBench-Full

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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1ACQwen2.5-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.

Rankings

OverallCodingText ArenaPricing

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Benchmarks

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