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reasoning benchmark

MBPP+ Leaderboard

MBPP+ is an enhanced version of MBPP (Mostly Basic Python Problems) with 35x more test cases for evaluating solutions to Python programming problems.

Updated Oct 23, 2026

Models4
Model coverage4
MetricScore
EvidenceB

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MBPP+ Ranking

Higher score ranks better on this benchmark.

4 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelXIMiMo-V2.5-ProXiaomiScore74.10%Percentile100.00%Participants4EvidenceCEvaluatedOct 22, 2026
Rank02ModelACQwen2.5 32B InstructAlibaba Cloud / Qwen TeamScore67.20%Percentile66.67%Participants4EvidenceCEvaluatedOct 22, 2026
Rank03ModelACQwen2.5 14B InstructAlibaba Cloud / Qwen TeamScore63.20%Percentile33.33%Participants4EvidenceCEvaluatedOct 22, 2026
Rank04ModelBAERNIE 4.5BaiduScore40.20%Percentile0.00%Participants4EvidenceCEvaluatedOct 22, 2026

MBPP+ Highlights

The leading models and scores on this benchmark.

MBPP+ Score Distribution

A closer view of the leading scores on this benchmark.

MBPP+

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.

What is MBPP+?

What MBPP+ measures and how its scores work.

MBPP+ is a benchmark based on MBPP, which contains 974 crowd-sourced Python programming problems designed to be solvable by entry-level programmers and covering programming fundamentals and standard library functionality.

It measures performance on Python programming problems using the Score metric, reported as a ratio.

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
No
Evaluation key
overall

LLM Stats. 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 74.10%.

What are the top three models on MBPP+?

The current leaders are MiMo-V2.5-Pro (74.10%), Qwen2.5 32B Instruct (67.20%), and Qwen2.5 14B Instruct (63.20%).

Which MBPP+ model has the lowest official input price?

Qwen2.5 14B Instruct has the lowest matched official input price at $0.35 input / $1.4 output per 1M tokens.

Which models are fastest among MBPP+ results?

No matched runtime record is currently available.

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does MBPP+ measure?

It measures performance on Python programming problems using the Score metric, reported as a ratio.

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?

No. This benchmark is shown for reference but does not contribute to the overall score.

Rank #1MiMo-V2.5-Pro74.10%
Rank #2Qwen2.5 32B Instruct67.20%
Rank #3Qwen2.5 14B Instruct63.20%
Rank #4ERNIE 4.540.20%

Ranking basisThis mbpp+ AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    XI
    MiMo-V2.5-ProXiaomi
    Score
    74.10%
    Price
    $0.44 input / $0.87 output per 1M tokens

    Strengths

    • Ranks #1 of 4 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MBPP+, not total model capability
  2. 02
    AC
    Qwen2.5 32B InstructAlibaba Cloud / Qwen Team
    Score
    67.20%
    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
  3. 03
    AC
    Alibaba Cloud / Qwen Team
    Score
    63.20%
    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
  4. 04
    BA
    Baidu
    Score
    40.20%

    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 74.10%. 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.

Qwen2.5 14B Instruct
ERNIE 4.5
Benchmark rank #1MiMo-V2.5-Pro74.10% · $0.44 input / $0.87 output per 1M tokens
Benchmark rank #2Qwen2.5 32B Instruct67.20% · $0.70 input / $2.8 output per 1M tokens
Benchmark rank #3Qwen2.5 14B Instruct63.20% · $0.35 input / $1.4 output per 1M tokens