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reasoning benchmark

EvalPlus

A rigorous code synthesis evaluation framework that augments existing datasets with extensive test cases generated by LLM and mutation-based strategies to better assess functional correctness of generated code, including HumanEval+ with 80x more test cases

Updated Aug 7, 2026

Published models4
Registry coverage4
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

EvalPlus leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

4 rows
Columns

Show columns

1MAKimi K2 BaseMoonshot AI0.803 points100.0%4CAug 7, 2026
2ACQwen2 72B InstructAlibaba Cloud / Qwen Team0.79 points66.7%4CAug 7, 2026
3ACQwen3 235B A22BAlibaba Cloud / Qwen Team0.776 points33.3%4CAug 7, 2026
4ACQwen2 7B InstructAlibaba Cloud / Qwen Team0.703 points0.0%4CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

EvalPlus

EvalPlus highlights

The top published results on this benchmark's own scale.

Rank #1Kimi K2 Base0.803 pointsRank #2Qwen2 72B Instruct0.79 pointsRank #3Qwen3 235B A22B0.776 pointsRank #4Qwen2 7B Instruct0.703 points

What is EvalPlus?

Definition and scoring fields from the benchmark registry.

A rigorous code synthesis evaluation framework that augments existing datasets with extensive test cases generated by LLM and mutation-based strategies to better assess functional correctness of generated code, including HumanEval+ with 80x more test cases

Scores are shown in points. The current registry marks this benchmark as not independently verified with evidence level B.

Family
EvalPlus
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
evalplus|llm-stats-current

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

FAQ

Common questions about EvalPlus.

Which model scores highest on EvalPlus?

Kimi K2 Base is currently ranked first with 0.803 points.

What does EvalPlus measure?

A rigorous code synthesis evaluation framework that augments existing datasets with extensive test cases generated by LLM and mutation-based strategies to better assess functional correctness of generated code, including HumanEval+ with 80x more test cases

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

4 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is preserved as source-native evidence but is not eligible for the current overall score.

Rankings

OverallCodingText ArenaPricing

Modalities

Image GenerationVideo GenerationSpeech-to-TextEmbeddings

Benchmarks

All BenchmarksReasoningMathCoding

Vendors

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