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Language Understanding on MMLU-Pro

80.6Accuracygpt-oss-120B
26.488840.536954.58568.6331Jul 15, 2024Nov 6, 2024Mar 1, 2025Jun 24, 2025Oct 17, 2025Feb 9, 2026Jun 4, 2026

Evaluation results

MethodLinks
gpt-oss-120BReasoning effort=High, KV cache precision=FP82026.0280.6—
gpt-oss-120BReasoning effort=High, KV cache precision=BF162026.0280.41—
gpt-oss-puzzle-88BReasoning effort=High, KV cache precision=BF162026.0279.32—
gpt-oss-puzzle-88BReasoning effort=High, KV cache precision=FP82026.0279.19—
gpt-oss-120BReasoning effort=Medium, KV cache precision=BF162026.0278.86—
gpt-oss-120BReasoning effort=Medium, KV cache precision=FP82026.0278.71—
gpt-oss-puzzle-88BReasoning effort=Medium, KV cache precision=FP82026.0278.18—
gpt-oss-puzzle-88BReasoning effort=Medium, KV cache precision=BF162026.0278.03—
gpt-oss-puzzle-88BReasoning effort=Low, KV cache precision=FP82026.0275.62—
gpt-oss-puzzle-88BReasoning effort=Low, KV cache precision=BF162026.0275.56—
gpt-oss-120BReasoning effort=Low, KV cache precision=BF162026.0275.18—
gpt-oss-120BReasoning effort=Low, KV cache precision=FP82026.0275.04—
NBDiff-7B-INSTRUCTParameters=7B, Training Protocol=Instruct, Sampling=Standard2025.1271.9—
Llama 3 405BModel Type=Pre-trained2024.0761.6—
MOCEdge Density=0.5, Backbone=Gemma-2-27B-Instruct2026.0659.29—
NBDiff-7B-BASEConfiguration=Base2025.1259.1—
MOCEdge Density=1.0, Backbone=Gemma-2-27B-Instruct2026.0658.21—
Vanilla MASEdge Density=0.5, Backbone=Gemma-2-27B-Instruct2026.0657.86—
MOCEdge Density=0.3, Backbone=Gemma-2-27B-Instruct2026.0657.5—
SDAR 8BParameters=8B, Sampling=Standard2025.1256.9—
Vanilla MASEdge Density=0.3, Backbone=Gemma-2-27B-Instruct2026.0656.79—
Vanilla MASEdge Density=1.0, Backbone=Gemma-2-27B-Instruct2026.0656.43—
MOCEdge Density=0.7, Backbone=Gemma-2-27B-Instruct2026.0656.07—
Qwen2-72B2024.0755.6—
Vanilla MASEdge Density=0.7, Backbone=Gemma-2-27B-Instruct2026.0655.36—
OpenReasoner-ZeroBase Model=Qwen2.5-Math-7B-Base2025.0554.6—
LoopRPTParameters=2.6B2026.0354.19—
OuroParameters=2.6B2026.0354.07—
Llama 3 70BModel Type=Pre-trained2024.0753.8—
Qwen3Parameters=8B2026.0353.72—
Llama-3-70B2024.0752.8—
Mistral 2501 BaseFew-shot=5 shot2026.0252—
Mixtral 8x22BModel Type=Pre-trained2024.0751.5—
Qwen2.5Parameters=4B2026.0351.4—
Mixtral-8x22B2024.0749.5—
TemplateRLBase Model=Qwen2.5-Math-7B-Base2025.0549.5—
Qwen1.5-110B2024.0749.4—
Gemma3Parameters=12B2026.0349.21—
LLaDA2.0-mini preview 16BA1BParameters=16BA1B, Sampling=Standard2025.1249.2—
FiMi BaseFew-shot=5 shot2026.0249—
Yi-1.5-34BArchitecture=Dense, # Act Params=32B, # Params=32B2024.0748.3—
Dream-v0Configuration=Base-7B2025.1248.2—
Qwen1.5-72B2024.0745.8—
Single LLMBackbone=Gemma-2-27B-Instruct2026.0645.71—
LLaDA-MoE 7B-A1BParameters=7B-A1B, Sampling=Standard2025.1244.6—
Qwen1.5-32BArchitecture=Dense, # Act Params=34B, # Params=34B2024.0744—
Qwen2.5Parameters=7B2026.0343.55—
Dream-v0 Instruct-7BParameters=7B, Training Protocol=Instruct, Sampling=Standard2025.1243.3—
Llama3.1Parameters=8B2026.0343.24—
Qwen2-57B-A14BArchitecture=MoE, # Act Params=14B, # Params=57B2024.0743—
GRPOBase Model=Qwen2.5-Math-7B-Base2025.0542.1—
LLaDA-8BConfiguration=Base2025.1241.8—
Oat-ZeroBase Model=Qwen2.5-Math-7B-Base2025.0541.8—
Llama3-8Bfine-tuning=LoRA2026.0241.67—
Krause-Llama3-8B2026.0241.67—
S-SimPOIteration=Iter12025.1241.41—
Mixtral-8x7BArchitecture=MoE, # Act Params=12B, # Params=47B2024.0741—
S-SimPOIteration=Iter02025.1240.49—
LLaDA-MoE-7BConfiguration=A1B-Base2025.1239.2—
Gemma3Parameters=3B2026.0337.87—
Krause-Qwen1.5-7BWindow size=32, top-k=162026.0237.5—
Krause-Qwen1.5-7BWindow size=18, top-k=122026.0237.5—
Llama3-8B2026.0237.5—
Llama 3 8BModel Type=Pre-trained2024.0737.1—
SDAR-1.7BScale=1.7B, Tokens=55B, FLOPs (1e18)=561.02026.0637—
SimpleRL-ZeroBase Model=Qwen2.5-Math-7B-Base2025.0536.9—
Qwen1.5-7BFine-tuning protocol=LoRA2026.0236.11—
GRPOModel=Llama3.2-3B-Ins2025.0536.1—
Qwen2.5-Math-7B-Instruct2025.0536.1—
INTUITORModel=Llama3.2-3B-Ins2025.0535.8—
GRPO-PVModel=Llama3.2-3B-Ins2025.0535.2—
Gemma 7BModel Type=Pre-trained2024.0735.1—
Krause-Qwen1.5-7BWindow size=48, top-k=242026.0234.72—
Qwen3Parameters=4B2026.0334.61—
PRIME-ZeroBase Model=Qwen2.5-Math-7B-Base2025.0534.3—
CoPE2026.0234.05—
BaselineModel=Llama3.2-3B-Ins2025.0534—
HardClip2026.0233.95—
RoPE2026.0233.52—
Llama3.2Parameters=3B2026.0333.34—
Mistral 7BModel Type=Pre-trained2024.0732.5—
OPDLM-1.7BScale=1.7B, Tokens=0.072B, FLOPs (1e18)=0.982026.0631.1—
Qwen1.5-7BFine-tuning protocol=None2026.0230.56—
GRPOModel=OLMo2-7B-SFT2025.0529.6—
BaselineModel=OLMo2-7B-SFT2025.0529.5—
S-IPOIteration=Iter42025.1229.39—
S-IPOIteration=Iter32025.1229.29—
S-IPOIteration=Iter02025.1229.22—
S-IPOIteration=Iter22025.1229.11—
INTUITORModel=OLMo2-7B-SFT2025.0529.1—
S-IPOIteration=Iter12025.1229.01—
SPACEIteration=Iter02025.1228.81—
S-SimPOIteration=Iter42025.1228.77—
SPACEIteration=Iter32025.1228.76—
SPACEIteration=Iter22025.1228.72—
SPACEIteration=Iter42025.1228.72—
SPINIteration=Iter22025.1228.67—
S-SimPOIteration=Iter22025.1228.65—
S-SimPOIteration=Iter32025.1228.62—
SPINIteration=Iter32025.1228.57—