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Mathematical Reasoning on AIME 2025 (Accuracy, Average output tokens)

36.7AccuracySAPO
-1.268.59518.4528.305Aug 5, 2025Sep 5, 2025Oct 7, 2025Nov 8, 2025Dec 9, 2025Jan 10, 2026Feb 11, 2026

Evaluation results

MethodLinks
SAPOModel=Qwen3-8B-Base, gbs/mbs=8, avg@k protocol=avg@322026.0236.7—
VESPOModel=Qwen3-30B-A3B-Base, gbs/mbs=8, avg@k protocol=avg@322026.0234.2—
VESPOModel=Qwen3-8B-Base, gbs/mbs=8, avg@k protocol=avg@322026.0233.5—
GSPOModel=Qwen3-8B-Base, gbs/mbs=8, avg@k protocol=avg@322026.0228.8—
GRPOModel=Qwen3-30B-A3B-Base, gbs/mbs=8, avg@k protocol=avg@322026.0228.2—
GRPOModel=Qwen3-8B-Base, gbs/mbs=8, avg@k protocol=avg@322026.0227.4—
GSPOModel=Qwen3-30B-A3B-Base, gbs/mbs=8, avg@k protocol=avg@322026.0224.6—
SAPOModel=Qwen3-30B-A3B-Base, gbs/mbs=8, avg@k protocol=avg@322026.0221.4—
Kimi K2.52026.020.96125,000
Gemini-3.0version=Pro2026.020.9515,000
Kimi K2mode=Thinking2026.020.94530,000
DeepSeek-V3.2mode=Thinking2026.020.93116,000
Qwen3-8Bstrategy=Full COT2025.080.769219,902.43
Qwen3-8Bstrategy=step-entropy pruning, pruning_ratio=80%2025.080.7611,716.63
SAPOModel=Llama-3.2-3B-Instruct, gbs/mbs=8, avg@k protocol=avg@322026.020.7—
QwQ-32Bstrategy=Full COT2025.080.666723,711.6
QwQ-32Bstrategy=step-entropy pruning, pruning_ratio=80%2025.080.655213,434.17
VESPOModel=Llama-3.2-3B-Instruct, gbs/mbs=8, avg@k protocol=avg@322026.020.6—
DeepSeek-R1-14Bstrategy=Full COT2025.080.586218,000.1
DeepSeek-R1-14Bstrategy=step-entropy pruning, pruning_ratio=80%2025.080.517210,842.07
GRPOModel=Llama-3.2-3B-Instruct, gbs/mbs=8, avg@k protocol=avg@322026.020.5—
DeepSeek-R1-7Bstrategy=Full COT2025.080.357118,203.23
DeepSeek-R1-7Bstrategy=step-entropy pruning, pruning_ratio=80%2025.080.357111,471.17
GSPOModel=Llama-3.2-3B-Instruct, gbs/mbs=8, avg@k protocol=avg@322026.020.2—