List your company

Mathematical Reasoning on DynaMath

81.42AccuracyGemini2.5-Pro
36.80448.38759.9771.553May 20, 2025Jul 26, 2025Oct 2, 2025Dec 9, 2025Feb 15, 2026Apr 24, 2026Jul 1, 2026

Evaluation results

MethodLinks
Gemini2.5-ProLLM Solver=Qwen3-30A3-Thinking2026.0381.42
GPT-5 miniVersion=high2026.0581.4
Official thinkingSource=Qwen3-VL2026.0580.1
RLVRTraining Source=DeepVision2026.0580
CodePercept-32B-S1LLM Solver=Qwen3-235A22-Thinking2026.0379.5
RLVRTraining Source=OpenMMR2026.0578.7
RLR³Training Source=ViRL2026.0578.4
RLR³Training Source=OpenMMR2026.0578
CodePercept-32B-S1LLM Solver=Qwen3-30A3-Thinking2026.0377.41
Qwen3-VL-235A22B-InstructLLM Solver=Qwen3-30A3-Thinking2026.0377.39
RLR³Training Source=DeepVision2026.0576.4
Qwen3-VL-32B-InstructLLM Solver=Qwen3-30A3-Thinking2026.0375.78
Qwen3-VL-32B-InstructLLM Solver=Qwen3-235A22-Thinking2026.0375.54
CodePercept-8B-S1LLM Solver=Qwen3-235A22-Thinking2026.0375.05
Base instruct2026.0574.8
RLVRTraining Source=ViRL2026.0574.1
Qwen3-VL-8B-InstructLLM Solver=Qwen3-235A22-Thinking2026.0373.69
Official instructSource=Qwen3-VL2026.0573.4
Claude-Opus 4.1-ThinkingLLM Solver=Qwen3-30A3-Thinking2026.0373.25
CodePercept-8B-S1LLM Solver=Qwen3-30A3-Thinking2026.0373.2
CodePercept-4B-S1LLM Solver=Qwen3-235A22-Thinking2026.0372.4
Qwen3-VL-8B-InstructLLM Solver=Qwen3-30A3-Thinking2026.0372.19
Qwen3-VL-30A3B-InstructLLM Solver=Qwen3-30A3-Thinking2026.0371.67
CodePercept-4B-S1LLM Solver=Qwen3-30A3-Thinking2026.0371.38
GPT-5 miniVersion=minimal2026.0571.3
Qwen3-VL-4B-InstructLLM Solver=Qwen3-235A22-Thinking2026.0371.22
GPT5-ThinkingLLM Solver=Qwen3-30A3-Thinking2026.0371
OPD+ViCuRModel Scale=8B2026.0670.7
Qwen3-VL-4B-Instruct / H-OPD (8B)Teacher=8B Ensemble, Method=H-OPD2026.0769.9
Qwen3-VL-4B-InstructLLM Solver=Qwen3-30A3-Thinking2026.0369.4
OPDModel Scale=8B2026.0669.22
Qwen2.5-VL-72BLLM Solver=Qwen3-30A3-Thinking2026.0368.28
InternVL3.5-8BLLM Solver=Qwen3-30A3-Thinking2026.0368.12
Qwen3-VL-8B2026.0767.7
GRPOModel Scale=8B2026.0667.44
OPSD+ViCuRModel Scale=8B2026.0667.17
Base ModelModel Scale=8B2026.0667.13
GLM-4.1V-9BLLM Solver=Qwen3-30A3-Thinking2026.0366.17
OPSDModel Scale=8B2026.0665.99
MiniCPM-V-4.5LLM Solver=Qwen3-30A3-Thinking2026.0365.44
Qwen3-VL-4B2026.0765.3
Claude-3.5 SonnetActivation Replay=false2025.1164.8
GPT-4oActivation Replay=false2025.1163.7
Intern-S1-8BLLM Solver=Qwen3-30A3-Thinking2026.0363.61
KeyeVL1.5-8BLLM Solver=Qwen3-30A3-Thinking2026.0362.37
MM-Eureka-Qwen-32BActivation Replay=false2025.1162.1
MM-Eureka-Qwen-32BActivation Replay=true2025.1161.8
Qwen3-VL-2B-Instruct / H-OPD (8B)Teacher=8B Ensemble, Method=H-OPD2026.0759.5
AutoToolSize=7B2026.0558
Qwen3-VL-2B-Instruct / H-OPD (4B)Teacher=4B Ensemble, Method=H-OPD2026.0757.9
InternVL3-8BSize=8B2026.0557.8
Qwen2.5-VL-7B + PGPOModel Size=7B, Optimization Strategy=PGPO2026.0457.71
DeepEyesSize=7B2026.0557.7
Qwen2.5-VL-7BSize=7B2026.0557.2
Qwen2.5-VL-7B + VPPOModel Size=7B, Optimization Strategy=VPPO2026.0457.11
Qwen2.5-VL-7B + PAPOModel Size=7B, Optimization Strategy=PAPO2026.0456.19
Qwen2.5-VL-7B + DAPOModel Size=7B, Optimization Strategy=DAPO2026.0455.96
Qwen3-VL-2B-Instruct / GRPOMethod=GRPO2026.0755.7
GRPOModel Scale=2B2026.0655.49
MM-Eureka-7BModel Size=7B2026.0455.01
DeepEyesParam Size=7B2025.0555
VL-Rethinker-7BModel Size=7B2026.0454.97
VL-Rethinker-7BActivation Replay=true2025.1154.9
NoisyRollout-7BModel Size=7B2026.0454.89
Qwen2.5-VL-7B + GRPOModel Size=7B, Optimization Strategy=GRPO2026.0454.84
R1-ShareVL-7BModel Size=7B2026.0454.8
VL-Rethinker-7BActivation Replay=false2025.1154.7
MMR1-Math-v0-7BActivation Replay=true2025.1154.2
Qwen3-VL-2B2026.0754.2
MMR1-Math-v0-7BActivation Replay=false2025.1153.8
Qwen2.5-VL*Param Size=7B2025.0553.3
PLM-HoneyBee-8BModel scale=7B-8B2025.1053.3
Base ModelModel Scale=2B2026.0653.23
Qwen2.5-VL-7BActivation Replay=false2025.1153.2
OPDModel Scale=2B2026.0652.87
MM-Eureka-Qwen-7BActivation Replay=true2025.1152.4
OPD+ViCuRModel Scale=2B2026.0652.38
OPSDModel Scale=2B2026.0652.37
PLM-HoneyBee-3BModel scale=3B-4B2025.1051.9
MM-Eureka-Qwen-7BActivation Replay=false2025.1151.8
OPSD+ViCuRModel Scale=2B2026.0651.6
Qwen2.5-VL-7B-InstructModel scale=7B-8B2025.1051.3
InternVL-3-8B-InstructModel scale=7B-8B2025.1051.2
GPT-4oModel Category=Proprietary Models2025.0648.5
Qwen2.5-VL-3B + PGPOModel Size=3B, Optimization Strategy=PGPO2026.0448.45
Qwen2.5-VL-7BModel Size=7B2026.0448.15
Qwen2.5-VL-3B + GRPOModel Size=3B, Optimization Strategy=GRPO2026.0447.82
Qwen2.5-VL-3B + VPPOModel Size=3B, Optimization Strategy=VPPO2026.0447.75
Qwen2.5-VL-3B + PAPOModel Size=3B, Optimization Strategy=PAPO2026.0447.3
InternVL3-8BActivation Replay=false2025.1146.5
Qwen2.5-VL-3B + DAPOModel Size=3B, Optimization Strategy=DAPO2026.0445.86
Gemini-2.0-ProModel Category=Proprietary Models2025.0643.3
Qwen2.5-VL-3BActivation Replay=false2025.1142.7
Qwen2.5-VL-3B-InstructModel scale=3B-4B2025.1042.5
InternVL-2.5-8BModel scale=7B-8B2025.1041.9
MaLoRAModel=Qwen3-VL-8B, Training examples=4.0k2025.1041.42
InternVL-2.5-4BModel scale=3B-4B2025.1040.7
Claude-3.7-SonnetModel Category=Proprietary Models2025.0639.7
PLM-HoneyBee-1BModel scale=1B2025.1039.3
MaLoRAModel=Qwen2.5-VL-7B, Training examples=4.0k2025.1038.52