List your company

Multimodal Mathematical Reasoning on DynaMath (accuracy)

69.2Accuracy (DynaMath)Metis
18.34431.54744.7557.953Oct 27, 2025Nov 30, 2025Jan 3, 2026Feb 6, 2026Mar 12, 2026Apr 15, 2026May 19, 2026

Evaluation results

MethodLinks
MetisModel Category=Agentic Multimodal Models2026.0469.2—
Qwen3-VL-8B-InstructModel Category=Open-source Models2026.0465.5—
CEPOBackbone=Qwen3-VL-4B-Instruct2026.0565.37—
RLSDBackbone=Qwen3-VL-4B-Instruct2026.0565.07—
BaseBackbone=Qwen3-VL-4B-Instruct2026.0564.59—
GRPOBackbone=Qwen3-VL-4B-Instruct2026.0563.97—
GPT-4oTool=Code, Param Size=-2025.1161.9—
OPSDBackbone=Qwen3-VL-4B-Instruct2026.0561.8—
SDPOBackbone=Qwen3-VL-4B-Instruct2026.0561.58—
DeepEyesV2Tool=General, Param Size=7B2025.1157.2—
DeepEyesV2Model Category=Agentic Multimodal Models2026.0457.2—
DeepEyesTool=Crop, Param Size=7B2025.1155—
DeepEyesModel Category=Agentic Multimodal Models2026.0455—
Qwen-2.5-VLTool=✗, Param Size=7B2025.1153.3—
Qwen-2.5-VL-7B-InstructModel Category=Open-source Models2026.0453.3—
CEPOBackbone=Qwen3-VL-2B-Instruct2026.0551.44—
VOLDImages in FT=false2025.1050.7—
GRPOBackbone=Qwen3-VL-2B-Instruct2026.0550.36—
RLSDBackbone=Qwen3-VL-2B-Instruct2026.0550.36—
BaseBackbone=Qwen3-VL-2B-Instruct2026.0550.08—
VLAA-Thinker 3BImages in FT=true2025.1047.5—
XReasoner-3B (repl.)Images in FT=false2025.1047.2—
OPSDBackbone=Qwen3-VL-2B-Instruct2026.0546.85—
SDPOBackbone=Qwen3-VL-2B-Instruct2026.0546.65—
Qwen2.5-VL-3BImages in FT=-2025.1042.7—
VLM-R1 3B-MathImages in FT=true2025.1042.7—
Vision-R1Training Data=Mixed Data, Backbone=Qwen2.5-VL-7B2026.0325.2—
SelfJudgeTraining Data=Geo3K, Backbone=Qwen2.5-VL-7B2026.0324.2—
RL(GRPO)Training Data=Geo3K, Backbone=Qwen2.5-VL-7B2026.0323.8—
RL(GRPO)Training Data=GeoQA, Backbone=Qwen2.5-VL-7B2026.0323.4—
RL(GRPO)Training Data=MMR1, Backbone=Qwen2.5-VL-7B2026.0323.3—
SelfJudgeTraining Data=GeoQA, Backbone=Qwen2.5-VL-7B2026.0323.2—
SelfJudgeTraining Data=MMR1, Backbone=Qwen2.5-VL-7B2026.0323—
SFTTraining Data=MMR1, Backbone=Qwen2.5-VL-7B2026.0322.9—
SFTTraining Data=GeoQA, Backbone=Qwen2.5-VL-7B2026.0322.6—
SFTTraining Data=Geo3K, Backbone=Qwen2.5-VL-7B2026.0322.1—
MM-UPTTraining Data=GeoQA, Backbone=Qwen2.5-VL-7B2026.0321.9—
R1-Onevision-7BTraining Data=Mixed Data, Backbone=Qwen2.5-VL-7B2026.0321.8—
MM-UPTTraining Data=MMR1, Backbone=Qwen2.5-VL-7B2026.0321.8—
VisionZeroTraining Data=CLEVR, Backbone=Qwen2.5-VL-7B2026.0321.7—
MM-UPTTraining Data=Geo3K, Backbone=Qwen2.5-VL-7B2026.0321.4—
VisionZeroTraining Data=ImgEdit, Backbone=Qwen2.5-VL-7B2026.0321.3—
OpenVLThinker-8BTraining Data=Mixed Data, Backbone=Qwen2.5-VL-7B2026.0321.2—
EvoLMMTraining Data=Multi-Bench, Backbone=Qwen2.5-VL-7B2026.0321—
Qwen2.5-VL-7BBackbone=Qwen2.5-VL-7B2026.0320.3—
Claude-3.5-SonnetModel Source Category=Closed-Source Models2026.04—36.6
Gemini-1.5-ProModel Source Category=Closed-Source Models2026.04—40.7
GPT-4o-20240513Model Source Category=Closed-Source Models2026.04—34.5
InternVL2.5-26BModel Source Category=Open-Source Models2026.04—11.4
InternVL2.5-8BModel Source Category=Open-Source Models2026.04—9.4
InternVL3-9BModel Source Category=Open-Source Models2026.04—26.7
LLaVA-OneVision-72BModel Source Category=Open-Source Models2026.04—15.6
MiniCPM-V2.6Model Source Category=Open-Source Models2026.04—9.8
Qwen2-VL-7BModel Source Category=Open-Source Models2026.04—18.1
Qwen2.5-VL-7B-InstructModel Source Category=Base Model2026.04—21
Qwen2.5-VL-7B-InstructModel Source Category=Base Model, Chain-of-Thought (CoT)=true2026.04—23.7
Qwen2.5-VL-7B-InstructModel Source Category=Ours2026.04—21
Qwen2.5-VL-7B-Instruct + cold startModel Source Category=Ours, Training Strategy=cold start2026.04—26.8
Qwen2.5-VL-7B-Instruct + RFTModel Source Category=Ours, Training Strategy=RFT2026.04—29.2