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Best for Vision & Documents
All models
2292
Chat & Knowledge
558
Coding
381
Agents & Tool Use
541
Writing & Language
360
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395
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183
Video Generation
148
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358
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671
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118
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29
MMMU-Pro
Chartography
OmniDocBench full v1.6
GDP.pdf · AA all-pass
Video-MME 2 · No subtitles
Arena Vision
MMMU validation
All benchmarks
26
Vision & Documents benchmarks
26
×
All
26
Multimodal
12
Documents
3
Benchmark
By
Leader
Models
Multimodal
6
MMMU-Pro (vision)
MMMU-Pro (vision): College-level questions that require understanding images: charts, diagrams, photos
AA
Claude Opus 5.5
87.7%
124
Chartography
Chartography: Expert chart reasoning over professional scientific, medical, financial and engineering charts
Surge
Gemini 4 Argon
71.6%
37
Arena Vision
Arena Vision · overall: Human pairwise preferences in the stated vision vote pool
Arena
Claude Fable 5
1,325
88
MMMU
validation
MMMU · validation: Image-grounded university-level questions across 30 disciplines; validation and test sets remain separate
MMMU
GPT-5.1
85.4%
41
OCRBench
v2 · CN
OCRBench v2 · CN: Tests visual text recognition, localization and reasoning; English and Chinese subsets remain separate
OCRBench
O
InternVL3 8B
53.5%
4
+1 versions & slices
v2 · EN
OCRBench v2 · EN: Tests visual text recognition, localization and reasoning; English and Chinese subsets remain separate
OCRBench
O
InternVL3 8B
49%
4
Documents
3
OmniDocBench
v1.6 · full
OmniDocBench · v1.6 full: End-to-end document parsing, averaging text recognition, table structure and formula recognition under the stated full-set protocol
OmniDocBench
X
TeleOCR
96.9%
22
GDP.pdf
AA all-pass
GDP.pdf · AA all-pass: Models reason over professional PDF documents; an attempt passes only when every atomic criterion passes
Muse Wonder Full
32.6%
133
Arena Document
Arena Document · overall: Human pairwise preferences in the stated document vote pool
Arena
Claude Opus 5
1,516
33
Reported by labs
11
CharXiv Reasoning
Reported by the lab with its own setup
Lab
Claude Opus 4.8
89.9
5
Chartography with tools
Reported by the lab with its own setup
Lab
Claude Opus 5
84
4
GDP.pdf AA
Reported by the lab with its own setup
Lab
Kimi K3
22
5
VideoMMMU
Reported by the lab with its own setup
Lab
Gemini 2.5 Pro
83.6
8
LVBench
Reported by the lab with its own setup
Lab
GPT-4o
48.9
2
BabyVision
Reported by the lab with its own setup
Lab
GPT-5.5
83.6
5
ChartQA Pro
Reported by the lab with its own setup
Lab
GPT-6 Astra
65.1
5
BabyVision with tools
Reported by the lab with its own setup
Lab
Claude Opus 5
94.1
4
ZeroBench-main with tools
Reported by the lab with its own setup
Lab
GPT-5.6 Sol
53
4
Dense200 bounding-box detection
Reported by the lab with its own setup
Lab
Mistral Large 4
42
4
BenchCAD w/ tools
Reported by the lab with its own setup
Lab
Kimi K3.1 Pro
92.7
1
Legacy · saturated or no longer reported
6
Video-MME
2 · without subtitles/audio
Video-MME 2 · without subtitles/audio: Grouped non-linear question scoring for video understanding; this is distinct from mean question accuracy
Video-MME
Gemini 3 Flash Preview
32.9%
16
+5 versions & slices
2 · with subtitles/audio
Video-MME 2 · with subtitles/audio: Grouped non-linear question scoring for video understanding; this is distinct from mean question accuracy
Video-MME
Gemini 3 Flash Preview
42.5%
16
1 · without subtitles/audio
Video-MME 1 · without subtitles/audio: Question accuracy across short, medium and long videos
Video-MME
r
Aria
67.6%
1
1 · with subtitles/audio
Video-MME 1 · with subtitles/audio: Question accuracy across short, medium and long videos
Video-MME
r
Aria
72.1%
1
2 · with subtitles/audio · 512 frames
Video-MME 2 · with subtitles/audio · with-subs; frames=512 · historical run: Grouped non-linear question scoring for video understanding; this is distinct from mean question accuracy
Video-MME
Kimi K2.5
40.7%
1
2 · without subtitles/audio · 512 frames
Video-MME 2 · without subtitles/audio · no-subs; frames=512 · historical run: Grouped non-linear question scoring for video understanding; this is distinct from mean question accuracy
Video-MME
Kimi K2.5
33%
1
No benchmark matches
Model
MMMU validation
Per task
Price
Speed
Supports
Context
GPT-5.1
OpenAI
85.4
unstated
—
$1.25
/
$10
—
400K
o3
OpenAI
82.9
unstated
—
$2
/
$8
—
200K
Claude Opus 4.5
Anthropic
80.7
unstated
—
$5
/
$25
—
200K
d
Dots.vlm1.inst
dots-studio
Open
80.1
—
—
164K
Gemini 2.5 Pro Preview (May' 25)
Google
79.6
unstated
—
—
1M
Qwen3 VL 235B A22B
Alibaba (Qwen)
78.7
—
$0.53
/
$2.66
—
256K
o1
OpenAI
78.2
unstated
—
$15
/
$60
—
200K
Claude Sonnet 4.5
Anthropic
77.8
unstated
—
$3
/
$15
—
1M
i
Intern S1
internlm
Open
77.7
—
—
66K
Skywork R1V3 38B
Skywork
Open
76
—
—
33K
Skywork R1V2 38B
Skywork
Open
73.6
—
—
41K
Llama 4 Maverick
Meta
Open
73.4
unstated
—
$0.19
/
$0.65
—
1M
GPT-4o
OpenAI
70.7
unstated
—
$2.50
/
$10
—
128K
QVQ 72B Preview
Alibaba (Qwen)
Open
70.3
—
$0.25
/
$0.50
—
32K
Llama 4 Scout
Meta
Open
69.4
unstated
—
$0.10
/
$0.30
—
10M
Skywork R1V 38B
Skywork
Open
69
—
—
131K
Nova Premier
Amazon
68
unstated
—
$2.50
/
$12.50
—
1M
MiMo VL 7B RL
Xiaomi
Open
66.7
—
—
128K
Gemma 3 27B
Google
Open
64.9
unstated
—
$0.08
/
$0.16
—
131K
MiMo VL 7B SFT
Xiaomi
Open
64.6
—
—
128K
O
InternVL3 8B
OpenGVLab
Open
62.7
—
—
33K
Nova Pro
Amazon
62
—
$0.80
/
$3.20
—
300K
Llama 3.2 90B
Meta
60.3
—
$0.72
/
$0.72
—
—
Gemma 3 12B
Google
Open
59.6
unstated
—
$0.05
/
$0.10
—
131K
GPT-4o Mini
OpenAI
59.4
unstated
—
$0.15
/
$0.60
—
128K
Qianfan VL 70B
Baidu
Open
58.3
—
—
33K
Eagle2.5 8B
NVIDIA
Open
55.8
—
—
—
r
Aria
rhymes-ai
Open
54.9
—
—
66K
Llama 3.2 11B
Meta
50.7
—
$0.16
/
$0.16
—
—
O
MiniCPM V 2 6
OpenBMB
Open
49.8
—
—
—
Gemma 3 4B
Google
Open
48.8
unstated
—
$0.04
/
$0.05
—
131K
O
InternVL3 2B
OpenGVLab
Open
48.6
—
—
33K
Gemini 1.0 Pro
Google
47.9
—
—
—
Qianfan VL 8B
Baidu
Open
47.1
—
—
33K
Qianfan VL 3B
Baidu
Open
46.4
—
—
33K
O
MiniCPM Llama3 V 2 5
OpenBMB
Open
45.8
—
$0.34
/
$0.34
—
8K
O
InternVL3 1B
OpenGVLab
Open
43.4
—
—
33K
F
FlashVL 2B Dynamic
FlashVL
Open
42.9
—
—
33K
r
Reka Edge
rekaai
Open
42.8
unstated
—
$0.10
/
$0.10
—
16K
O
MiniCPM-V
OpenBMB
37.2
—
—
—
A
Ovis2 1B
ATH-MaaS
Open
36
—
—
33K
Show 354 not measured on MMMU validation