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reasoning benchmark

HumanEval+ Leaderboard

HumanEval+ is an enhanced version of HumanEval that extends the original test cases by 80x using the EvalPlus framework to evaluate the functional correctness of LLM-synthesized code.

Updated Sep 5, 2026

Models10
Model coverage10
MetricScore
EvidenceB

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HumanEval+ Ranking

Higher score ranks better on this benchmark.

10 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMIPhi 4 ReasoningMicrosoftScore92.90%Percentile100.00%Participants10EvidenceCEvaluatedSep 8, 2026
Rank02ModelMIPhi 4 Reasoning PlusMicrosoftScore92.30%Percentile88.89%Participants10EvidenceCEvaluatedSep 8, 2026
Rank03ModelIBGranite 3.3 8B BaseIBMScore86.09%Percentile77.78%Participants10EvidenceCEvaluatedSep 8, 2026
Rank04ModelIBGranite 3.3 8B InstructIBMScore86.09%Percentile66.67%Participants10EvidenceCEvaluatedSep 8, 2026
Rank05ModelMIPhi 4MicrosoftScore82.80%Percentile55.56%Participants10EvidenceCEvaluatedSep 8, 2026
Rank06ModelIBIBM Granite 4.0 Tiny PreviewIBMScore78.30%Percentile44.44%Participants10EvidenceCEvaluatedSep 8, 2026
Rank07ModelXIMiMo-V2.5-ProXiaomiScore75.60%Percentile33.33%Participants10EvidenceCEvaluatedSep 8, 2026
Rank08ModelACQwen2.5 32B InstructAlibaba Cloud / Qwen TeamScore52.40%Percentile22.22%Participants10EvidenceCEvaluatedSep 8, 2026
Rank09ModelACQwen2.5 14B InstructAlibaba Cloud / Qwen TeamScore51.20%Percentile11.11%Participants10EvidenceCEvaluatedSep 8, 2026
Rank10ModelBAERNIE 4.5BaiduScore25.00%Percentile0.00%Participants10EvidenceCEvaluatedSep 8, 2026

HumanEval+ Highlights

The leading models and scores on this benchmark.

HumanEval+ Score Distribution

A closer view of the leading scores on this benchmark.

HumanEval+

The Top AI Models for HumanEval+

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

What is HumanEval+?

What HumanEval+ measures and how its scores work.

HumanEval+ is a reasoning benchmark for evaluating LLM-synthesized code with test cases extended by 80x from HumanEval using the EvalPlus framework.

It measures functional correctness using the Score metric, reported as a ratio, and detects previously undetected wrong code.

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

Family
HumanEval+
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

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

FAQ

Common questions about HumanEval+.

Which model scores highest on HumanEval+?

Phi 4 Reasoning is currently ranked first with 92.90%.

What are the top three models on HumanEval+?

The current leaders are Phi 4 Reasoning (92.90%), Phi 4 Reasoning Plus (92.30%), and Granite 3.3 8B Base (86.09%).

Which HumanEval+ model has the lowest official input price?

Phi 4 Reasoning has the lowest matched official input price at $0.13 input / $0.50 output per 1M tokens.

Which models are fastest among HumanEval+ results?

The fastest matched records are Phi 4 (33.00 tok/s via DeepInfra) and MiMo-V2.5-Pro (5.27 tok/s via DeepInfra).

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does HumanEval+ measure?

It measures functional correctness using the Score metric, reported as a ratio, and detects previously undetected wrong code.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

10 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.

Rank #1Phi 4 Reasoning92.90%
Rank #2Phi 4 Reasoning Plus92.30%
Rank #3Granite 3.3 8B Base86.09%
Rank #4Granite 3.3 8B Instruct86.09%

Ranking basisThis humaneval+ AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    MI
    Phi 4 ReasoningMicrosoft
    Score
    92.90%
    Price
    $0.13 input / $0.50 output per 1M tokens

    Strengths

    • Ranks #1 of 10 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HumanEval+, not total model capability
  2. 02
    MI
    Phi 4 Reasoning PlusMicrosoft
    Score
    92.30%
    Price
    $0.13 input / $0.50 output per 1M tokens

    Strengths

    • Ranks #2 of 10 compared models
    • 89th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HumanEval+, not total model capability
  3. 03
    IB
    IBM
    Score
    86.09%

    Strengths

    • Ranks #3 of 10 compared models
    • 78th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HumanEval+, not total model capability
  4. 04
    IB
    IBM
    Score
    86.09%

    Strengths

    • Ranks #4 of 10 compared models
    • 67th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HumanEval+, not total model capability
  5. 05
    MI
    Microsoft
    Score
    82.80%
    Price
    $0.13 input / $0.50 output per 1M tokens
    Speed
    Up to 33.00 tok/s via DeepInfra

    Strengths

    • Ranks #5 of 10 compared models
    • 56th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HumanEval+, not total model capability

Selection summary

Best AI Models for HumanEval+

Phi 4 Reasoning currently leads HumanEval+ with 92.90%. 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.

Granite 3.3 8B Base
Granite 3.3 8B Instruct
Phi 4
Benchmark rank #1Phi 4 Reasoning92.90% · $0.13 input / $0.50 output per 1M tokens
Benchmark rank #2Phi 4 Reasoning Plus92.30% · $0.13 input / $0.50 output per 1M tokens
Benchmark rank #3Granite 3.3 8B Base86.09%