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Multimodal Reasoning on DynaMath

67.2AccuracySwimBird
-2.4779215.6115433.70151.79046Jun 5, 2025Aug 7, 2025Oct 10, 2025Dec 13, 2025Feb 14, 2026Apr 19, 2026Jun 22, 2026

Evaluation results

MethodLinks
SwimBird2026.0267.2——
Qwen3-VL-8B-Instructreproduced by authors=true2026.0265.3——
PyVision-ImageTooling Type=Dynamic Tooling2026.0261.6——
AIRTool=Yes2026.0657.5——
DeepEyesV22026.0257.2——
DeepEyes-v2Tooling Type=Dynamic Tooling2026.0257.2——
DeepEyesV2Tool=General, Param Size=7B2025.1157.2——
ReLaX-VL-7BModel Category=Reasoning Multimodal LLM, Parameters=7B2025.1255.9——
VL-Rethinker-7BModel Category=Reasoning Multimodal LLM, Parameters=7B, reproduced=true2025.1255.2——
Qwen2.5VL-7B w/ GRPOTool=No2026.0655.1——
DeepEyes2026.0255——
DeepEyesTooling Type=Static Toolset2026.0255——
DeepEyesTool=Crop, Param Size=7B2025.1155——
DeepEyesTool=Yes2026.0655——
MM-Eureka-7BModel Category=Reasoning Multimodal LLM, Parameters=7B, reproduced=true2025.1254.4——
Qwen2.5VL-7B*Tool=No2026.0653.5——
Qwen2.5-VL-7B-Instruct2026.0253.3——
Qwen2.5-VL-7BBackbone=Qwen2.5-VL-7B2026.0253.3——
Qwen-2.5-VLTool=✗, Param Size=7B2025.1153.3——
Qwen2.5-VL-7BModel Category=General Multimodal LLM, Parameters=7B2025.1253.2——
ReLaX-VL-3BModel Category=Reasoning Multimodal LLM, Parameters=3B2025.1252.2——
Vision-R1-7BModel Category=Reasoning Multimodal LLM, Parameters=7B, reproduced=true2025.1252——
AIR-SFTTool=Yes2026.0648.3——
R1-VL-7BModel Category=Reasoning Multimodal LLM, Parameters=7B2025.1245.2——
Athena-PRMPolicy Model=Qwen2.5-VL-72B, Best-of-N Evaluation=82025.0642.5——
Qwen2-VL-7BModel Category=General Multimodal LLM, Parameters=7B2025.1242.1——
Gemini-2.0-FlashModel Category=Proprietary2025.0642.1——
Qwen2.5-VL-3BModel Category=General Multimodal LLM, Parameters=3B, reproduced=true2025.1240——
Intern2-VL-8BModel Category=General Multimodal LLM, Parameters=8B2025.1239.7——
Claude-3.7-SonnetModel Category=Proprietary2025.0639.7——
Athena-ORMPolicy Model=Qwen2.5-VL-72B, Best-of-N Evaluation=82025.0639.6——
OpenVLThinker-7BModel Category=Reasoning Multimodal LLM, Parameters=7B, reproduced=true2025.1238.6——
Qwen2.5-VL-32B w/ RAPIDReasoning Framework=RAPID, Reasoner Model=GPT-OSS-120B-A5B2025.0638.3——
Qwen2.5-VL-72B w/ RAPIDReasoning Framework=RAPID, Reasoner Model=GPT-OSS-120B-A5B2025.0637.9——
Self-consistencyPolicy Model=Qwen2.5-VL-72B, Best-of-N Evaluation=82025.0637.6——
Qwen2.5-VL-32B w/ RAPIDReasoning Framework=RAPID, Reasoner Model=Qwen3-8B2025.0636.5——
Qwen2.5-VL-72BModel Category=Open-Source2025.0635.9——
Qwen2.5-VL-72BReasoning Framework=Standard2025.0635.9——
Qwen2.5-VL-72BPolicy Model=Qwen2.5-VL-72B, Best-of-N Evaluation=82025.0635.9——
InternVL3-38BModel Category=Open-Source2025.0635.3——
InternVL3-78BModel Category=Open-Source2025.0635.1——
VL-Rethinker-72BModel Category=Open-Source2025.0634.9——
GPT-4o-20241120Model Category=Proprietary2025.0634.5——
MM-Eureka-32BModel Category=Open-Source2025.0633.5——
Qwen2.5-VL-32BReasoning Framework=Standard2025.0633.3——
Qwen2.5-VL-7B w/ RAPIDReasoning Framework=RAPID, Reasoner Model=Qwen3-8B2025.0632.7——
InternVL3-14BModel Category=Open-Source2025.0631.3——
QVQ-72B-PreviewModel Category=Open-Source2025.0630.7——
ReVisual-R1-7BModel Category=Open-Source2025.0630.5——
OmniCaptionerMethod Category=Caption-then-Reason2025.0630.5——
Qwen2.5-VL-7B (Bo8)Training Strategy=GRPO, Sampling Strategy=Best-of-82025.0629.7——
Qwen2.5-VL-3B w/ RAPIDReasoning Framework=RAPID, Reasoner Model=Qwen3-8B2025.0629.3——
Gemma-3-27BModel Category=Open-Source2025.0628.5——
Ovis2-34BModel Category=Open-Source2025.0627.5——
Ovis2-16BModel Category=Open-Source2025.0626.3——
InternVL3-8BModel Category=Open-Source2025.0625.5——
ECSOMethod Category=Caption-then-Reason2025.0625——
Athena-PRMPolicy Model=Qwen2.5-VL-7B, Best-of-N Evaluation=82025.0623.4——
Athena-ORMPolicy Model=Qwen2.5-VL-7B, Best-of-N Evaluation=82025.0623.1——
VisualPRM-8BPolicy Model=Qwen2.5-VL-7B, Best-of-N Evaluation=82025.0623——
Self-consistencyPolicy Model=Qwen2.5-VL-7B, Best-of-N Evaluation=82025.0622.9——
MM-Eureka-7BModel Category=Open-Source2025.0622.6——
Qwen2.5-VL-7BPolicy Model=Qwen2.5-VL-7B, Best-of-N Evaluation=82025.0621.8——
VL-Rethinker-7BModel Category=Open-Source2025.0621.4——
Gemma-3-12BModel Category=Open-Source2025.0620.8——
Ovis2-8BModel Category=Open-Source2025.0620.4——
Qwen2.5-VL-7BReasoning Framework=Standard2025.0619.4——
Athena-PRMPolicy Model=InternVL2.5-8B, Best-of-N Evaluation=82025.0618.7——
VisualPRM-8BPolicy Model=InternVL2.5-8B, Best-of-N Evaluation=82025.0618——
Athena-ORMPolicy Model=InternVL2.5-8B, Best-of-N Evaluation=82025.0615.2——
Self-consistencyPolicy Model=InternVL2.5-8B, Best-of-N Evaluation=82025.0613.8——
Qwen2.5-VL-3BReasoning Framework=Standard2025.0613.4——
InternVL2.5-8BPolicy Model=InternVL2.5-8B, Best-of-N Evaluation=82025.069.4——
GRPOBase model=Qwen2.5-VL-7B-Instruct, Algorithm=GRPO2026.020.262——
GSPOBase model=Qwen2.5-VL-7B-Instruct, Algorithm=GSPO2026.020.259——
LUSPOBase model=Qwen2.5-VL-7B-Instruct, Algorithm=LUSPO2026.020.246——
Qwen2.5-VL-7B-Instruct (w/o RLVR)Base model=Qwen2.5-VL-7B-Instruct, Algorithm=w/o RLVR2026.020.202——
Gemini-2.0-Flash# Samples=unk2025.08—55.7943.25
GPT-4o-mini# Samples=unk2025.08—40.3537.46
InternVL2.5-8B# Samples=unk2025.08—48.8851.24
MiMo-VL-7B# Samples=unk2025.08—60.566.81
Qwen2.5-VL-72B# Samples=unk2025.08—51.7553.25
Qwen2.5-VL-7B# Samples=unk2025.08—52.8152.89
Qwen3-VL-4B-Thinking# Samples=unk2025.08—55.7962.82
VisualPRM-8B# Samples=400K2025.08—3062.08
VRPRM# Samples=53.6K, Explicit Reasoning (CoT)=true, RL Training=true2025.08—53.5167.95
VRPRM w/o CoT# Samples=53.6K, Explicit Reasoning (CoT)=false, RL Training=true2025.08—41.0553.06
VRPRM w/o RL# Samples=3.6K, Explicit Reasoning (CoT)=true, RL Training=false2025.08—52.4663.08
VRPRM w/o RL & w/o CoT# Samples=3.6K, Explicit Reasoning (CoT)=false, RL Training=false2025.08—50.1855.26
VRPRM-MiMo# Samples=53.6K, Explicit Reasoning (CoT)=true, RL Training=true2025.08—59.4774.55
VRPRM-MiMo w/o CoT# Samples=53.6K, Explicit Reasoning (CoT)=false, RL Training=true2025.08—59.1273.2
VRPRM-MiMo w/o RL# Samples=3.6K, Explicit Reasoning (CoT)=true, RL Training=false2025.08—60.0461.67
VRPRM-MiMo w/o RL & w/o CoT# Samples=3.6K, Explicit Reasoning (CoT)=false, RL Training=false2025.08—59.6550.48
VRPRM-Qwen3# Samples=53.6K, Explicit Reasoning (CoT)=true, RL Training=true2025.08—57.0272.76
VRPRM-Qwen3 w/o CoT# Samples=53.6K, Explicit Reasoning (CoT)=false, RL Training=true2025.08—53.3371.85
VRPRM-Qwen3 w/o RL# Samples=3.6K, Explicit Reasoning (CoT)=true, RL Training=false2025.08—59.8257.58
VRPRM-Qwen3 w/o RL & w/o CoT# Samples=3.6K, Explicit Reasoning (CoT)=false, RL Training=false2025.08—55.6156.23