reasoning benchmark
MBPP
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.
Updated Aug 7, 2026
Published models33
Registry coverage33
MetricScore
EvidenceB
MBPP leaderboard
Sorted by the source-provided rank. Higher score is better according to the registry.
Score distribution
Top published rows on the benchmark's original scale.
MBPP highlights
The top published results on this benchmark's own scale.
What is MBPP?
Definition and scoring fields from the benchmark registry.
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.
Scores are shown in points. The current registry marks this benchmark as not independently verified with evidence level B.
- Family
- MBPP
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- mbpp|llm-stats-current
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
FAQ
Common questions about MBPP.
Which model scores highest on MBPP?
Sarvam-30B is currently ranked first with 0.927 points.
What does MBPP 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.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
33 unique published model results are currently shown.
Does this benchmark affect the overall score?
This benchmark is marked as eligible for the current LLMBoard capability methodology.