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Autonomous Machine Learning Engineering on MLE-Bench Lite

81.82Any Medal RateAiScientist
10.871229.290647.7166.1294Feb 8, 2026Feb 25, 2026Mar 14, 2026Mar 31, 2026Apr 17, 2026May 4, 2026May 21, 2026

Evaluation results

MethodLinks
AiScientistModel=Gemini-3-Flash, Evaluation Context=Controlled Evaluation2026.0481.8210086.3618.1831.8231.82——
AiScientistModel=GLM-5, Evaluation Context=Controlled Evaluation2026.0481.8210090.919.0931.8240.91——
AIBuildAIModel=Claude-Opus-4.6, Evaluation Context=Official Leaderboard Results2026.0477.2710081.8213.6425.7637.88——
LoongFlowModel=Gemini-3-Flash, Evaluation Context=Controlled Evaluation2026.0477.2777.2777.2712.1225.7639.39——
ML-Master 2.0Model=DeepSeekV3.2-Spe, Evaluation Context=Official Leaderboard Results2026.0475.7610084.8513.6431.8230.3——
Famou-Agent 2.0Model=Gemini-2.5-Pro, Evaluation Context=Official Leaderboard Results2026.0475.7610086.3615.1519.740.91——
EvoMasterBackend model=GPT-5.4, Maximum runtime=24 hours2026.0475.7610084.8513.6431.8230.3——
MARSModel=Gemini-3-Pro, Evaluation Context=Official Leaderboard Results2026.0474.2410089.396.0615.1553.03——
LeerooBase Model=Gemini-3-pro, Time Budget=24h, Open-world protocol=true2026.0368.2———————
GOMEBase Model=GPT-5, Time Budget=12h, Open-world protocol=false2026.0368.2———————
R&D-AgentModel=GPT-5, Evaluation Context=Official Leaderboard Results2026.0468.1877.2774.2412.1222.7333.33——
LeerooModel=Gemini-3-Pro, Evaluation Context=Official Leaderboard Results2026.0468.1868.1868.1818.1819.730.3——
MLE-STAR2026.0468.1810075.7616.6716.6734.85——
R&D-Agent2026.0468.1877.2774.2412.1222.7333.33——
ThesisBase Model=GPT-5-Codex, Time Budget=24h, Open-world protocol=true2026.0365.2———————
ML-Master 2.0Model=GLM-5, Evaluation Context=Controlled Evaluation2026.0463.6410081.8218.1813.6431.82——
InternAgentModel=DeepSeek-R1, Evaluation Context=Official Leaderboard Results2026.0462.1210078.7910.6116.6734.85——
InternAgent-MLEBase Model=DeepSeek-R1, Time Budget=12h, Open-world protocol=true2026.0362.1———————
FM AgentBase Model=Gemini-2.5-pro, Time Budget=24h, Open-world protocol=true2026.0362.1———————
CLAUDE-4.5-SONNET2026.0260.6110080.37.5816.6736.3675.86—
GEMINI-3-PRO2026.0259.0910084.854.5515.1539.3979.18—
GPT-5.22026.0256.0695.4571.2110.6116.6728.7971.05—
AIRABase Model=o3, Time Budget=24h, Open-world protocol=false2026.0355———————
AIRA-dojoModel=o3, Evaluation Context=Official Leaderboard Results2026.045510070.457.9512.7334.32——
ACE-30BOpen-Source=Best performance2026.0251.5210078.7912.127.5831.8271.14—
KompeteAIBase Model=Gemini-2.5-flash, Time Budget=6h, Open-world protocol=true2026.0351.5———————
ML-MasterBase Model=Deepseek-R1, Evaluation Protocol=pass@12026.0348.5————18.1——
ML-MasterModel=DeepSeek-R1, Evaluation Context=Official Leaderboard Results2026.0448.4810074.244.5513.6430.3——
AIRABase Model=o3-preview, Evaluation Protocol=pass@12026.0347.73————28.64——
+ IdleSpec (Ours)Use idle?=true, Backbone=Gemini-2.5-Flash2026.0545.595.559.113.613.618.2—86.4
SciDEREvaluation Protocol=pass@12026.0345.45————36.4——
AIDEModel=Gemini-3-Flash, Evaluation Context=Controlled Evaluation2026.0445.4577.2754.554.559.0931.82——
AIDEModel=GLM-5, Evaluation Context=Controlled Evaluation2026.0440.9177.27504.5513.6422.73——
+Sequential RevisionUse idle?=false, Backbone=Gemini-2.5-Flash2026.0540.990.15013.69.118.2—81.8
DEEPSEEK-V3.22026.0239.3998.4871.217.584.5527.2765.92—
QWEN3-235B-2507full name=Qwen3-235B-A22B-Thinking-25072026.0237.8892.4269.76.067.5824.2469.7—
VanillaUse idle?=false, Backbone=Gemini-2.5-Flash2026.0536.486.440.19.19.118.2—77.3
+Sleep-time ComputeUse idle?=true, Backbone=Gemini-2.5-Flash2026.0536.490.159.113.69.113.6—81.8
Claude-4.5-SonnetFramework=ReAct2026.0431.895.531.804.527.3——
GLM-4.62026.0230.390.9145.456.063.0321.2145.45—
Qwen3-14B-SFT-SandMLEModel Scale=14B, Framework=ReAct, Training Pipeline=SFT-SandMLE2026.0427.395.531.84.5022.7——
Qwen3-30B-SandMLEModel Scale=30B, Framework=ReAct, Training Pipeline=SandMLE2026.0427.310036.4013.613.6——
Qwen3-30B-SFT-SandMLEModel Scale=30B, Framework=ReAct, Training Pipeline=SFT-SandMLE2026.0427.390.945.54.59.113.6——
QWEN3-30B-2507full name=Qwen3-30B-A3B-Thinking-25072026.0227.2784.85501.527.5818.1848.75—
Deepseek-V3.1Framework=ReAct2026.0422.790.936.404.518.2——
Gemini-2.5-flashFramework=ReAct2026.0422.781.845.54.54.513.6——
Qwen3-8B-SandMLEModel Scale=8B, Framework=ReAct, Training Pipeline=SandMLE2026.0422.763.627.304.518.2——
Qwen3-8B-SFT-SandMLEModel Scale=8B, Framework=ReAct, Training Pipeline=SFT-SandMLE2026.0422.790.931.84.5018.2——
Qwen3-14B-SandMLEModel Scale=14B, Framework=ReAct, Training Pipeline=SandMLE2026.0422.777.327.34.54.513.6——
Qwen3-30B-Seed-SFTModel Scale=30B, Framework=ReAct, Training Pipeline=Seed-SFT2026.0422.777.331.84.54.513.6——
Qwen3-14B-BaseModel Scale=14B, Framework=ReAct, Training Pipeline=Base2026.0418.272.718.24.54.518.2——
Qwen3-14B-Seed-SFTModel Scale=14B, Framework=ReAct, Training Pipeline=Seed-SFT2026.0418.272.722.74.5013.6——
OpenClawBackend model=GPT-5.4, Maximum runtime=24 hours2026.0418.1881.8231.824.5513.640——
AIDEBase Model=o1-preview, Evaluation Protocol=pass@12026.0316.9————9.4——
Qwen3-8B-BaseModel Scale=8B, Framework=ReAct, Training Pipeline=Base2026.0413.668.218.204.59.1——
Qwen3-8B-Seed-SFTModel Scale=8B, Framework=ReAct, Training Pipeline=Seed-SFT2026.0413.672.718.24.509.1——
Qwen3-30B-BaseModel Scale=30B, Framework=ReAct, Training Pipeline=Base2026.0413.668.218.24.509.1——