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
MBPP ++ base version Ranking
Higher score ranks better on this benchmark.
| 1 | ME | 86.0% | 100.0% | 1 | C |
MBPP ++ base version Highlights
The leading models and scores on this benchmark.
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.