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Best for Vision & Documents
All models
2292
Chat & Knowledge
558
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381
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541
Writing & Language
360
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395
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183
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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
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
OmniDocBench full v1.6
Per task
Price
Speed
Supports
Context
X
TeleOCR
XingChen-AGI
Open
96.9
—
—
128K
A
OvisOCR2
ATH-MaaS
Open
96.5
—
$0.30
/
$1.20
—
262K
P
PaddleOCR VL 1.6
PaddlePaddle
Open
96.3
—
—
131K
GLM-OCR
Z.ai
Open
95.2
—
$0.20
/
$0.20
—
—
P
PaddleOCR VL 1.5
PaddlePaddle
Open
94.9
—
—
131K
PaddleOCR VL
Baidu
94.2
—
$0.02
/
$0.02
—
131K
Unlimited OCR
Baidu
Open
94
—
—
33K
Qianfan OCR
Baidu
Open
93.9
—
—
33K
Youtu Parsing
Tencent
Open
93.7
—
—
20K
A
Ovis2.6 30B A3B
ATH-MaaS
Open
93.7
—
—
262K
a
ABot OCR
acvlab
Open
93.3
—
—
262K
F
FireRed OCR
FireRedTeam
Open
93.3
—
—
262K
Gemini 3 Flash Preview
Google
92.6
unstated
—
$0.50
/
$3
—
1M
d
Dots.ocr
dots-studio
Open
90.8
—
—
131K
DeepSeek OCR 2
DeepSeek
Open
90.3
—
$0.03
/
$0.03
—
8K
HunyuanOCR
Tencent
Open
90
—
—
131K
e
MonkeyOCR Pro 3B
echo840
Open
88.6
—
—
—
GPT-5.2
OpenAI
86.6
unstated
—
$1.75
/
$14
—
400K
Kimi K2.5
Moonshot AI
Open
84.5
unstated
—
$0.60
/
$3
—
256K
n
Nanonets OCR S
nanonets
Open
83.6
—
—
128K
POINTS Reader
Tencent
Open
83.4
—
—
33K
d
Marker
datalab-to
78.4
—
—
—
Show 373 not measured on OmniDocBench full v1.6