reasoning benchmark
MBPP ++ base version Leaderboard
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 17, 2026
Models1
Model coverage1
MetricScore
EvidenceB
MBPP ++ base version Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelME | Score86.0% | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
MBPP ++ base version Highlights
The leading models and scores on this benchmark.
The Top AI Models for MBPP ++ base version
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis mbpp ++ base version 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.
- 01ME
- Score
- 86.0%
- Speed
- Up to 1,204 tok/s via Cerebras
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures MBPP ++ base version, not total model capability
Selection summary
Best AI Models for MBPP ++ base version
Llama 3.1 70B Instruct currently leads MBPP ++ base version with 86.0%. 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 ++ 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.