agents benchmark
MLE-Bench Lite Leaderboard
MLE-Bench Lite evaluates AI agents on machine learning engineering tasks for Kaggle-style competitions in a lightweight evaluation format.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
MLE-Bench Lite Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMI | Score66.60% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
MLE-Bench Lite Highlights
The leading models and scores on this benchmark.
The Top AI Models for MLE-Bench Lite
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis mle-bench lite AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MIMiniMax
- Score
- 66.60%
- Price
- $0.30 input / $1.2 output per 1M tokens
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures MLE-Bench Lite, not total model capability
Selection summary
Best AI Models for MLE-Bench Lite
MiniMax M2.7 currently leads MLE-Bench Lite with 66.60%. 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 MLE-Bench Lite?
What MLE-Bench Lite measures and how its scores work.
MLE-Bench Lite is a benchmark for evaluating AI agents on machine learning engineering tasks.
It measures agents' ability to build, train, and optimize machine learning models, using the Score metric with ratio as the unit.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MLE-Bench Lite
- Modality
- text
- Primary category
- agents
- 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 MLE-Bench Lite.
Which model scores highest on MLE-Bench Lite?
MiniMax M2.7 is currently ranked first with 66.60%.
What are the top three models on MLE-Bench Lite?
The current leaders are MiniMax M2.7 (66.60%).
Which MLE-Bench Lite model has the lowest official input price?
MiniMax M2.7 has the lowest matched official input price at $0.30 input / $1.2 output per 1M tokens.
Which models are fastest among MLE-Bench Lite 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.