reasoning benchmark
MBPP+ Leaderboard
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 17, 2026
Models4
Model coverage4
MetricScore
EvidenceB
MBPP+ Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelXI | Score74.1% | Percentile100.0% | Participants4 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score67.2% | Percentile66.7% | Participants4 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score63.2% | Percentile33.3% | Participants4 | EvidenceC | Evaluated |
| Rank04 | ModelBA | Score40.2% | Percentile0.0% | Participants4 | EvidenceC | Evaluated |
MBPP+ Highlights
The leading models and scores on this benchmark.
MBPP+ Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for MBPP+
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis mbpp+ AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01XIMiMo-V2.5-ProXiaomi
- Score
- 74.1%
- Price
- $0.43 input / $0.87 output per 1M tokens
- Speed
- Up to 69 tok/s via Novita
Strengths
- Ranks #1 of 4 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures MBPP+, not total model capability
- 02ACQwen2.5 32B InstructAlibaba Cloud / Qwen Team
- Score
- 67.2%
- Price
- $0.70 input / $2.8 output per 1M tokens
Strengths
- Ranks #2 of 4 compared models
- 67th percentile on this benchmark
- C evidence result
Considerations
- This result measures MBPP+, not total model capability
- 03ACQwen2.5 14B InstructAlibaba Cloud / Qwen Team
- Score
- 63.2%
- Price
- $0.35 input / $1.4 output per 1M tokens
Strengths
- Ranks #3 of 4 compared models
- 33th percentile on this benchmark
- C evidence result
Considerations
- This result measures MBPP+, not total model capability
- 04BAERNIE 4.5Baidu
- Score
- 40.2%
Strengths
- Ranks #4 of 4 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures MBPP+, not total model capability
Selection summary
Best AI Models for MBPP+
MiMo-V2.5-Pro currently leads MBPP+ with 74.1%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
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.