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reasoning benchmark

MBPP pass@1

MBPP (Mostly Basic Python Problems) is a benchmark of 974 crowd-sourced Python programming problems designed to be solvable by entry-level programmers. Each problem consists of a task description, code solution, and 3 automated test cases. This variant uses pass@1 evaluation metric measuring the percentage of problems solved correctly on the first attempt.

Updated Aug 11, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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MBPP pass@1 Ranking

Higher score ranks better on this benchmark.

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01MAMinistral 8B InstructMistral AI70.0%100.0%1CAug 11, 2026

MBPP pass@1 Highlights

The leading models and scores on this benchmark.

Rank #1Ministral 8B Instruct70.0%

What is MBPP pass@1?

What MBPP pass@1 measures and how its scores work.

MBPP (Mostly Basic Python Problems) is a benchmark of 974 crowd-sourced Python programming problems designed to be solvable by entry-level programmers. Each problem consists of a task description, code solution, and 3 automated test cases. This variant uses pass@1 evaluation metric measuring the percentage of problems solved correctly on the first attempt.

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

Family
MBPP pass@1
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
mbpp-pass@1|llm-stats-current

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

FAQ

Common questions about MBPP pass@1.

Which model scores highest on MBPP pass@1?

Ministral 8B Instruct is currently ranked first with 70.0%.

What does MBPP pass@1 measure?

MBPP (Mostly Basic Python Problems) is a benchmark of 974 crowd-sourced Python programming problems designed to be solvable by entry-level programmers. Each problem consists of a task description, code solution, and 3 automated test cases. This variant uses pass@1 evaluation metric measuring the percentage of problems solved correctly on the first attempt.

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.