llmboard.aiAI model intelligence
Home

Model Rankings

OverallOpen ModelsAgentCodingReasoningMathKnowledgeInstruction FollowingTextVision
Image GenerationImage Editing
Video GenerationImage to VideoVideo Editing
Text to SpeechSpeech to Text
Embeddings

Efficiency

Chat Token PricingImage PricingVideo PricingAudio Pricing
Chat Speed & LatencyProvider Reliability

Benchmarks

GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-Pro
All Benchmarks

Tools

Model DirectoryCompare Models

Scoring & Data

Scoring & Data
393 models668 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

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

Data & Methods

Scoring MethodAll BenchmarksReasoningMath

Vendors

All VendorsOpenAIAnthropicGoogle
llmboard.aiCopyright 2026 llmboard.ai

reasoning benchmark

HumanEval Plus Leaderboard

Enhanced version of HumanEval that extends the original test cases by 80x using EvalPlus framework for rigorous evaluation of LLM-synthesized code functional correctness, detecting previously undetected wrong code

Updated Aug 17, 2026

Models1
Model coverage1
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • Top models
  • About
  • FAQ

HumanEval Plus Ranking

Higher score ranks better on this benchmark.

1 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMAMistral Small 3.2 24B InstructMistral AIScore92.9%Percentile100.0%Participants1EvidenceCEvaluatedAug 17, 2026

HumanEval Plus Highlights

The leading models and scores on this benchmark.

Rank #1Mistral Small 3.2 24B Instruct92.9%

The Top AI Models for HumanEval Plus

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis humaneval plus 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.

  1. 01
    MA
    Mistral Small 3.2 24B InstructMistral AI
    Score
    92.9%

    Strengths

    • Ranks #1 of 1 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HumanEval Plus, not total model capability

Selection summary

Best AI Models for HumanEval Plus

Mistral Small 3.2 24B Instruct currently leads HumanEval Plus with 92.9%. 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.

Benchmark rank #1Mistral Small 3.2 24B Instruct92.9%

What is HumanEval Plus?

What HumanEval Plus measures and how its scores work.

Enhanced version of HumanEval that extends the original test cases by 80x using EvalPlus framework for rigorous evaluation of LLM-synthesized code functional correctness, detecting previously undetected wrong code

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
HumanEval Plus
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
humaneval-plus|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about HumanEval Plus.

Which model scores highest on HumanEval Plus?

Mistral Small 3.2 24B Instruct is currently ranked first with 92.9%.

What does HumanEval Plus measure?

Enhanced version of HumanEval that extends the original test cases by 80x using EvalPlus framework for rigorous evaluation of LLM-synthesized code functional correctness, detecting previously undetected wrong code

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.