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Machine Learning Engineering on MLE-Bench Lite

86.36Any Medal (%)Arbor
15.473633.876852.2870.6832Aug 13, 2025Oct 2, 2025Nov 21, 2025Jan 10, 2026Mar 1, 2026Apr 20, 2026Jun 10, 2026

Evaluation results

MethodLinks
ArborModel=GPT-5.52026.0686.36—77.2710095.4509.09
AI-ScientistModel=Gemini-3-Flash2026.0681.82—31.8210086.3618.1831.82
ArborModel=Gemini-3-Flash2026.0681.82—40.910086.3613.6427.27
AIBuildAIModel=Claude-Opus-4.62026.0677.27—37.8810081.8213.6425.76
LoongFlowModel=Gemini-3-Flash2026.0677.27—39.3977.2777.2712.1225.76
EvoMasterBackend Model=GPT-5.4, Maximum Runtime=24 hours2026.0475.8316—————
ML-Master 2.0Model=DeepSeekV3.2-Spe2026.0675.76—30.310084.8513.6431.82
Famou-Agent 2.0Model=Gemini-2.5-Pro2026.0675.76—40.9110086.3615.1519.7
MARSModel=Gemini-3-Pro2026.0674.24—53.0310089.396.0615.15
DataMasterBackbone=GLM-52026.0568.18—45.45————
R&D-AgentModel=GPT-52026.0668.18—33.3377.2774.2412.1222.73
LeerooModel=Gemini-3-Pro2026.0668.18—30.368.1868.1818.1819.7
CodexModel=GPT-5.5 (xhigh)2026.0668.18—46.9710081.821.5219.7
InternAgentModel=DeepSeek-R12026.0662.12—34.8510078.7910.6116.67
DatasetResearcherBackbone=GLM-52026.0559.09—27.27————
AIRA-dojoModel=o32026.0655—34.3210070.457.9512.73
KompeteAILLM Engine=gemini-2.5-flash, Number of seeds=3, Time limit per run=6 hours2025.0851.5——————
ML-MasterLLM Engine=deepseek-r12025.0848.5——————
ML-MasterModel=DeepSeek-R12026.0648.48—30.310074.244.5513.64
RD-AgentLLM Engine=o1-preview2025.0848.18——————
AIDEModel=Gemini-3-Flash2026.0645.45—31.8277.2754.554.559.09
MLE-STARLLM Engine=gemini-2.5-flash2025.0843.9——————
ML-Master 2.0Backbone=GLM-52026.0540.91—27.27————
Claude CodeBackbone=GLM-52026.0536.36—22.12————
Initial ScoreDescription=ML-Master's code with data module removed2026.0535.91—22.73————
AIDELLM Engine=o1-preview2025.0834.3——————
Codex*Backbone=GPT-5.2-Codex2026.0522.73—18.18————
OpenClawBackend Model=GPT-5.4, Maximum Runtime=24 hours2026.0418.2——————