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AITier

Qwen2-VL-72B-Instruct

Alibaba Cloud / Qwen TeamQwenOpen Weighttongyi-qianwen

Description

An instruction-tuned, large multimodal model that excels at visual understanding and step-by-step reasoning. It supports image and video input, with dynamic resolution handling and improved positional embeddings (M-ROPE), enabling advanced capabilities such as complex problem solving, multilingual text recognition in images, and agent-like interactions in video contexts.

Release Date
2024-08-29
Parameters
73.4B
Context Length
—
Modalities
—

Capability Radar

80
general
0
coding
70
reasoning
51
scienceest.
49
agents
90
multimodal

Science is estimated from LLM Stats science scores or reasoning when no dedicated science benchmarks are available.

Rankings

Domain#RankScoreSource
Multimodal Ranking100
46.0
LS

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Math

MathVista-Mini70.5%SR

Reasoning

ChartQAMasry et al. (2022)88.3%SR

Vision

DocVQAtest96.5%SR
VCR_en_easy91.9%SR
OCRBench87.7%SR
MMBench86.5%SR
TextVQA85.5%SR
InfoVQAtest84.5%SR
EgoSchema77.9%SR
RealWorldQA77.8%SR
MMVetGPT4Turbo74.0%SR
MVBench73.6%SR
MMMUval64.5%SR
MMMU-Pro46.2%SR
MTVQA30.9%SR

AA Evaluation Indices

(Artificial Analysis)

No AA evaluation data available

LLM Stats Category Scores

(LLM Stats (zeroeval))
Image To Text
90
Long Context
80
Multimodal
80
Spatial Reasoning
80
General
80
Vision
80
Math
70
Reasoning
70
Video
70
Healthcare
60

Pricing

No pricing data available

Speed

No speed data available

Provider Price Ranking

No provider data available

External Sources

LLM StatsArtificial Analysis