Benchmark profile
MLS-Bench Lite
A 30-task subset of MLS-Bench that evaluates whether AI systems can invent generalizable and scalable machine-learning methods.
Data verifiedBenchmark score on MLS-Bench Lite — July 23, 2026
BenchLM mirrors the published score view for MLS-Bench Lite. Kimi K3 leads the public snapshot at 48.3% , followed by Kimi K2.7 Code (35.1%). BenchLM does not use these results to rank models overall.
Kimi K3
Moonshot AI
kimi-3
Kimi K2.7 Code
Moonshot AI
kimi-k2-7-code
Benchmark score table (2 models)
ScoreAbout MLS-Bench Lite
Year
2026
Tasks
30 machine-learning research tasks
Format
Agentic ML task evaluation
Difficulty
ML research and systems engineering
Moonshot reports MLS-Bench Lite as a coding-agent result for Kimi K2.7 Code. BenchLM stores the provider-reported exact value separately from weighted coding benchmarks because the row is a newly reported benchmark variant with sparse public model coverage.
BenchLM freshness & provenance
Version
MLS-Bench Lite 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
FAQ
What does MLS-Bench Lite measure?
A 30-task subset of MLS-Bench that evaluates whether AI systems can invent generalizable and scalable machine-learning methods.
Which model scores highest on MLS-Bench Lite?
Kimi K3 by Moonshot AI currently leads with a score of 48.3% on MLS-Bench Lite.
How many models are evaluated on MLS-Bench Lite?
2 AI models have been evaluated on MLS-Bench Lite on BenchLM.
Compare Top Models on MLS-Bench Lite
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.