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reasoning benchmark

MBPP ++ base version

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 covering programming fundamentals and standard library functionality. This is an enhanced version with additional test cases.

Updated Aug 11, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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MBPP ++ base version Ranking

Higher score ranks better on this benchmark.

1 rows
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01MELlama 3.1 70B InstructMeta86.0%100.0%1CAug 11, 2026

MBPP ++ base version Highlights

The leading models and scores on this benchmark.

Rank #1Llama 3.1 70B Instruct86.0%

What is MBPP ++ base version?

What MBPP ++ base version 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 covering programming fundamentals and standard library functionality. This is an enhanced version with additional test cases.

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

Family
MBPP ++ base version
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
mbpp-++-base-version|llm-stats-current

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

FAQ

Common questions about MBPP ++ base version.

Which model scores highest on MBPP ++ base version?

Llama 3.1 70B Instruct is currently ranked first with 86.0%.

What does MBPP ++ base version 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 covering programming fundamentals and standard library functionality. This is an enhanced version with additional test cases.

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.