reasoning benchmark
MBPP ++ base version Leaderboard
MBPP ++ base version is a benchmark of 974 crowd-sourced Python programming problems with task descriptions, code solutions, and automated test cases.
Updated Sep 5, 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 | Score86.00% | Percentile100.00% | 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 original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MEMeta
- Score
- 86.00%
- Speed
- Up to 1,204.00 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 86.00%. 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 ++ base version is an enhanced version of MBPP (Mostly Basic Python Problems) with additional test cases, covering problems designed to be solvable by entry-level programmers.
It measures Score, reported as a ratio, on Python programming problems 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 ++ base version
- 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 ++ base version.
Which model scores highest on MBPP ++ base version?
Llama 3.1 70B Instruct is currently ranked first with 86.00%.
What are the top three models on MBPP ++ base version?
The current leaders are Llama 3.1 70B Instruct (86.00%).
Which MBPP ++ base version model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among MBPP ++ base version results?
The fastest matched records are Llama 3.1 70B Instruct (1,204.00 tok/s via Cerebras).
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.