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General Reasoning on Super GPQA

71.1AccuracyGemini 2.5 Pro
-0.86817.81636.555.184Apr 15, 2025Jun 10, 2025Aug 6, 2025Oct 2, 2025Nov 28, 2025Jan 24, 2026Mar 22, 2026

Evaluation results

MethodLinks
Gemini 2.5 ProInput Modality=Text, LLM-as-a-Judge=GPT-4o2025.1171.1—
Claude Sonnet 4.5Input Modality=Text, LLM-as-a-Judge=GPT-4o2025.1169—
GPT-5 highInput Modality=Text, LLM-as-a-Judge=GPT-4o2025.1168.3—
Sora-2 Last FrameInput Modality=Last Frame, LLM-as-a-Judge=GPT-4o2025.1153.2—
ROSA2Model=Qwen3-8B2026.0352.4—
ROSA2Model=Qwen2.5-7B-Base2026.0348.8—
ROSAModel=Qwen2.5-7B-Base2026.0347.8—
TextGradModel=Qwen2.5-7B-Base2026.0346.4—
Sora-2 AudioInput Modality=Audio, LLM-as-a-Judge=GPT-4o2025.1144.5—
ROSAModel=Qwen2.5-7B-Instruct, Update Location=LM Head, Reward Model=Model-based2025.0940.67—
ROSAModel=Qwen3-8B, Update Location=LM Head, Reward Model=Model-based2025.0940.34—
TextGradModel=Qwen3-8B2026.0340—
ROSAModel=Qwen3-8B2026.0338.6—
ROSAModel=Qwen3-8B, Update Location=Hidden States, Reward Model=Rule-based2025.0937.73—
WISTBackbone=Qwen3-14B-Base2026.0337.4—
ROSAModel=Qwen2.5-7B-Instruct, Update Location=LM Head, Reward Model=Rule-based2025.0937.26—
R-ZeroBackbone=Qwen3-14B-Base2026.0337.1—
SPICEBackbone=Qwen3-14B-Base2026.0337.1—
ROSAModel=Qwen2.5-7B-Instruct, Update Location=Hidden States, Reward Model=Rule-based2025.0936.27—
ROSAModel=Qwen3-8B, Update Location=LM Head, Reward Model=Rule-based2025.0936.11—
SPICEBackbone=Qwen3-8B-Base, Methodology=SPICE, Supervision Ratio=None2025.1235.7—
General-ReasonerBackbone=Qwen3-8B-Base, Methodology=General-Reasoner, Supervision Ratio=232k WebInstruct2025.1235.3—
Base ModelBackbone=Qwen3-14B-Base2026.0335.2—
ROSA2Model=DeepSeek-R1-Distill-Llama-8B2026.0335—
Absolute ZeroBackbone=Qwen3-8B-Base, Methodology=Absolute Zero, Supervision Ratio=None2025.1233.5—
R-Few (5%)Backbone=Qwen3-8B-Base, Methodology=R-Few, Supervision Ratio=5%2025.1233.5—
R-Few (1%)Backbone=Qwen3-8B-Base, Methodology=R-Few, Supervision Ratio=1%2025.1232.7—
General-ReasonerBackbone=Qwen3-4B-Base, Methodology=General-Reasoner, Supervision Ratio=232k WebInstruct2025.1232.5—
WISTBackbone=Qwen3-8B-Base2026.0332.5—
R-ZeroBackbone=Qwen3-8B-Base, Methodology=R-Zero, Supervision Ratio=None2025.1231.8—
R-ZeroBackbone=Qwen3-8B-Base2026.0331.8—
CoT Cold-Start + Solver FeedbackModel=Qwen3-4B-Base2025.1131.33—
SPICEBackbone=Qwen3-8B-Base2026.0331.3—
Self-Instruct + Solver FeedbackModel=Qwen3-4B-Base2025.1131.29—
Self-Instruct + R-ZeroModel=Qwen3-4B-Base2025.1131.27—
CoT Cold-StartModel=Qwen3-4B-Base2025.1130.65—
Base ModelBackbone=Qwen3-8B-Base, Methodology=Base, Supervision Ratio=None2025.1230.4—
Self-Instruct + CoT-Self-InstructModel=Qwen3-4B-Base2025.1130.35—
SPICEBackbone=Qwen3-4B-Base, Methodology=SPICE, Supervision Ratio=None2025.1230.2—
Self-InstructModel=Qwen3-4B-Base2025.1130.07—
Seed SetModel=Qwen3-4B-Base2025.1129.74—
CoT Cold-Start + RLMTModel=Qwen3-4B-Base2025.1129.7—
WISTBackbone=Qwen3-4B-Base2026.0329.6—
R-Few (1%)Backbone=Qwen3-4B-Base, Methodology=R-Few, Supervision Ratio=1%2025.1229.4—
R-Few (5%)Backbone=Qwen3-4B-Base, Methodology=R-Few, Supervision Ratio=5%2025.1229.4—
NEMOTRON-CROSSTHINKCategory=Data Source, Blend=Bgpr↑2025.0429.16—
CoT Cold-Start + R-ZeroModel=Qwen3-4B-Base2025.1129.15—
Base ModelBackbone=Qwen3-8B-Base2026.0328.3—
NEMOTRON-CROSSTHINKCategory=Question Types, Blend=Bmcq↑2025.0428.05—
R-ZeroBackbone=Qwen3-4B-Base, Methodology=R-Zero, Supervision Ratio=None2025.1227.8—
SPICEBackbone=Qwen3-4B-Base2026.0327.8—
NEMOTRON-CROSSTHINKCategory=Single Source, Blend=Bonly_mr2025.0427.69—
BaselineModel=Qwen3-8B2025.0927.61—
ORZModel=ORZ2025.0427.6—
NEMOTRON-CROSSTHINKCategory=Single Source, Blend=Bonly_gpr2025.0427.44—
NEMOTRON-CROSSTHINKCategory=Data Usefulness, Blend=Bscore2025.0427.37—
Absolute ZeroBackbone=Qwen3-4B-Base, Methodology=Absolute Zero, Supervision Ratio=None2025.1227.1—
NEMOTRON-CROSSTHINKCategory=Question Types, Blend=Bopen↑2025.0426.82—
NEMOTRON-CROSSTHINKCategory=Data Source, Blend=Bmr↑2025.0426.81—
R-ZeroBackbone=Qwen3-4B-Base2026.0326.7—
NEMOTRON-CROSSTHINKBlend=Bnd2025.0426.54—
Base ModelBackbone=Qwen3-4B-Base, Methodology=Base, Supervision Ratio=None2025.1225.4—
WISTBackbone=OctoThinker-8B-Hybrid-Base2026.0325.4—
MModel=M2025.0425.36—
ROSAModel=DeepSeek-R1-Distill-Llama-8B, Update Location=LM Head, Reward Model=Model-based2025.0924.97—
BaselineModel=Qwen3-8B2026.0324.2—
R-ZeroBackbone=OctoThinker-8B-Hybrid-Base2026.0324.1—
SPICEBackbone=OctoThinker-8B-Hybrid-Base2026.0323.3—
ROSAModel=DeepSeek-R1-Distill-Llama-8B2026.0321.4—
ROSAModel=DeepSeek-R1-Distill-Llama-8B, Update Location=Hidden States, Reward Model=Rule-based2025.0921.34—
Base ModelModel=Qwen3-4B-Base2025.1120.88—
TextGradModel=DeepSeek-R1-Distill-Llama-8B2026.0320.8—
ROSAModel=DeepSeek-R1-Distill-Llama-8B, Update Location=LM Head, Reward Model=Rule-based2025.0920.49—
BaselineModel=Qwen2.5-7B-Instruct2025.0919.31—
SPICEBackbone=OctoThinker-3B-Hybrid-Base2026.0318.4—
Base ModelBackbone=Qwen3-4B-Base2026.0318—
BaselineModel=Qwen2.5-7B-Base2026.0317.8—
WISTBackbone=OctoThinker-3B-Hybrid-Base2026.0317.8—
Base ModelBackbone=OctoThinker-8B-Hybrid-Base2026.0316.4—
ROSAModel=Qwen3-0.6B, Update Location=LM Head, Reward Model=Model-based2025.0915.73—
R-ZeroBackbone=OctoThinker-3B-Hybrid-Base2026.0312.6—
BaselineModel=DeepSeek-R1-Distill-Llama-8B2026.0310.4—
Base ModelBackbone=OctoThinker-3B-Hybrid-Base2026.0310.4—
BaselineModel=DeepSeek-R1-Distill-Llama-8B2025.0910.37—
ROSAModel=Qwen3-0.6B, Update Location=Hidden States, Reward Model=Rule-based2025.099.7—
ROSAModel=Qwen3-0.6B, Update Location=LM Head, Reward Model=Rule-based2025.099.13—
ROSAModel=Qwen2.5-0.5B-Instruct, Update Location=LM Head, Reward Model=Model-based2025.096.57—
ROSA2Model=Qwen2.5-0.5B-Instruct2026.036.4—
ROSA2Model=Qwen3-0.6B-Instruct2026.036.4—
ROSAModel=Qwen2.5-0.5B-Instruct, Update Location=LM Head, Reward Model=Rule-based2025.095.63—
ROSAModel=Qwen2.5-0.5B-Instruct, Update Location=Hidden States, Reward Model=Rule-based2025.095—
BaselineModel=Qwen3-0.6B2025.094.2—
ROSAModel=Qwen2.5-0.5B-Instruct2026.034—
ROSAModel=Qwen3-0.6B-Instruct2026.034—
BaselineModel=Qwen2.5-0.5B-Instruct2026.033.8—
TextGradModel=Qwen2.5-0.5B-Instruct2026.033.8—
BaselineModel=Qwen3-0.6B-Instruct2026.033.8—
TextGradModel=Qwen3-0.6B-Instruct2026.033.8—
BaselineModel=Qwen2.5-0.5B-Instruct2025.091.9—
Absolute ZeroBackbone Model=Qwen3-4B-Base2026.02—27.1