reasoning benchmark
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
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMI | Score92.90% | Percentile100.00% | Participants10 | EvidenceC | Evaluated |
| Rank02 | ModelMI | Score92.30% | Percentile88.89% | Participants10 | EvidenceC | Evaluated |
| Rank03 | ModelIB | Score86.09% | Percentile77.78% | Participants10 | EvidenceC | Evaluated |
| Rank04 | ModelIB | Score86.09% | Percentile66.67% | Participants10 | EvidenceC | Evaluated |
| Rank05 | ModelMI | Score82.80% | Percentile55.56% | Participants10 | EvidenceC | Evaluated |
| Rank06 | ModelIB | Score78.30% | Percentile44.44% | Participants10 | EvidenceC | Evaluated |
| Rank07 | ModelXI | Score75.60% | Percentile33.33% | Participants10 | EvidenceC | Evaluated |
| Rank08 | ModelAC | Score52.40% | Percentile22.22% | Participants10 | EvidenceC | Evaluated |
| Rank09 | ModelAC | Score51.20% | Percentile11.11% | Participants10 | EvidenceC | Evaluated |
| Rank10 | ModelBA | Score25.00% | Percentile0.00% | Participants10 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
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.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about HumanEval+.
Phi 4 Reasoning is currently ranked first with 92.90%.
The current leaders are Phi 4 Reasoning (92.90%), Phi 4 Reasoning Plus (92.30%), and Granite 3.3 8B Base (86.09%).
Phi 4 Reasoning has the lowest matched official input price at $0.13 input / $0.50 output per 1M tokens.
The fastest matched records are Phi 4 (33.00 tok/s via DeepInfra) and MiMo-V2.5-Pro (5.27 tok/s via DeepInfra).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures functional correctness using the Score metric, reported as a ratio, and detects previously undetected wrong code.
Yes. Higher values rank better for this benchmark.
10 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
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.
Selection summary
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.