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general benchmark

Instruct HumanEval Leaderboard

Instruct HumanEval is an instruction-based variant of the HumanEval benchmark for evaluating large language models' code generation on programming problems using functional correctness and the pass@k metric.

Updated Sep 5, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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Instruct HumanEval Ranking

Higher score ranks better on this benchmark.

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelNVLlama 3.1 Nemotron 70B InstructNVIDIAScore73.84%Percentile100.00%Participants1EvidenceCEvaluatedSep 8, 2026

Instruct HumanEval Highlights

The leading models and scores on this benchmark.

Rank #1Llama 3.1 Nemotron 70B Instruct73.84%

The Top AI Models for Instruct HumanEval

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

Ranking basisThis instruct 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
    NV
    NVIDIA
    Score
    73.84%

    Strengths

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

    Considerations

    • This result measures Instruct HumanEval, not total model capability

Selection summary

Best AI Models for Instruct HumanEval

Llama 3.1 Nemotron 70B Instruct currently leads Instruct HumanEval with 73.84%. 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 Instruct HumanEval?

What Instruct HumanEval measures and how its scores work.

Instruct HumanEval is an instruction-based variant of the HumanEval benchmark focused on code generation for programming problems.

It measures functional correctness in code generation using the pass@k metric; its metric is Score, reported as a ratio.

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

Family
Instruct HumanEval
Modality
text
Primary category
general
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 Instruct HumanEval.

Which model scores highest on Instruct HumanEval?

Llama 3.1 Nemotron 70B Instruct is currently ranked first with 73.84%.

What are the top three models on Instruct HumanEval?

The current leaders are Llama 3.1 Nemotron 70B Instruct (73.84%).

Which Instruct HumanEval model has the lowest official input price?

No matched official input price is currently available.

Which models are fastest among Instruct HumanEval 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.

What does Instruct HumanEval measure?

It measures functional correctness in code generation using the pass@k metric; its metric is Score, reported as a ratio.

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.

Llama 3.1 Nemotron 70B Instruct
Benchmark rank #1Llama 3.1 Nemotron 70B Instruct73.84%