reasoning benchmark
MBPP+
MBPP+ is an enhanced version of MBPP (Mostly Basic Python Problems) with significantly more test cases (35x) for more rigorous evaluation. MBPP is a benchmark of 974 crowd-sourced Python programming problems designed to be solvable by entry-level programmers, covering programming fundamentals and standard library functionality.
Updated Aug 11, 2026
Models4
Model coverage4
MetricScore
EvidenceB
MBPP+ Ranking
Higher score ranks better on this benchmark.
| 1 | XI | 74.1% | 100.0% | 4 | C | |
| 2 | AC | 67.2% | 66.7% | 4 | C | |
| 3 | AC | 63.2% | 33.3% | 4 | C | |
| 4 | BA | 40.2% | 0.0% | 4 | C |
MBPP+ Score Distribution
A closer view of the leading scores on this benchmark.
MBPP+ Highlights
The leading models and scores on this benchmark.
What is MBPP+?
What MBPP+ measures and how its scores work.
MBPP+ is an enhanced version of MBPP (Mostly Basic Python Problems) with significantly more test cases (35x) for more rigorous evaluation. MBPP is a benchmark of 974 crowd-sourced Python programming problems designed to be solvable by entry-level programmers, covering programming fundamentals and standard library functionality.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MBPP+
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- mbpp+|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MBPP+.
Which model scores highest on MBPP+?
MiMo-V2.5-Pro is currently ranked first with 74.1%.
What does MBPP+ measure?
MBPP+ is an enhanced version of MBPP (Mostly Basic Python Problems) with significantly more test cases (35x) for more rigorous evaluation. MBPP is a benchmark of 974 crowd-sourced Python programming problems designed to be solvable by entry-level programmers, 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?
4 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.