reasoning benchmark
MLS-Bench Lite Leaderboard
MLS-Bench Lite is the official 30-task subset of MLS-Bench for evaluating AI systems on inventing generalizable and scalable machine learning methods.
Updated Sep 5, 2026
Models3
Model coverage3
MetricScore
EvidenceB
MLS-Bench Lite Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMA | Score48.30% | Percentile100.00% | Participants3 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score41.00% | Percentile50.00% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelMA | Score35.10% | Percentile0.00% | Participants3 | EvidenceC | Evaluated |
MLS-Bench Lite Highlights
The leading models and scores on this benchmark.
MLS-Bench Lite Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for MLS-Bench Lite
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is MLS-Bench Lite?
What MLS-Bench Lite measures and how its scores work.
MLS-Bench Lite is a 30-task benchmark covering LLM pretraining and post-training, robotics, world models, computer vision, reinforcement learning, optimization, ML systems, and AI for Science.
It measures performance using the Score metric, reported as a ratio, for inventing generalizable and scalable machine learning methods across these areas.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MLS-Bench Lite
- 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 MLS-Bench Lite.
Which model scores highest on MLS-Bench Lite?
Kimi K3 is currently ranked first with 48.30%.
What are the top three models on MLS-Bench Lite?
The current leaders are Kimi K3 (48.30%), Qwen3.8 Max (41.00%), and Kimi K2.7 Code (35.10%).
Which MLS-Bench Lite model has the lowest official input price?
Kimi K2.7 Code has the lowest matched official input price at $0.95 input / $4.0 output per 1M tokens.
Which models are fastest among MLS-Bench Lite results?
The fastest matched records are Qwen3.8 Max (60.87 tok/s via DeepInfra).
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.