reasoning benchmark
HumanEval-ER Leaderboard
HumanEval-ER is a variant of the HumanEval benchmark with 164 original programming problems for synthesizing programs from docstrings.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
HumanEval-ER Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMA | Score81.10% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
HumanEval-ER Highlights
The leading models and scores on this benchmark.
The Top AI Models for HumanEval-ER
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis humaneval-er AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MAMoonshot AI
- Score
- 81.10%
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures HumanEval-ER, not total model capability
Selection summary
Best AI Models for HumanEval-ER
Kimi K2 Instruct currently leads HumanEval-ER with 81.10%. 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.
What is HumanEval-ER?
What HumanEval-ER measures and how its scores work.
HumanEval-ER is a reasoning benchmark that assesses program synthesis from docstrings.
It measures functional correctness, language comprehension, algorithms, and simple mathematics using the Score metric as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- HumanEval-ER
- 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-ER.
Which model scores highest on HumanEval-ER?
Kimi K2 Instruct is currently ranked first with 81.10%.
What are the top three models on HumanEval-ER?
The current leaders are Kimi K2 Instruct (81.10%).
Which HumanEval-ER model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among HumanEval-ER results?
No matched runtime record is currently available.
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.