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DeepSeek VL2 Small

DeepSeekDeepSeekOpen Weightdeepseek

Description

An advanced series of large Mixture-of-Experts (MoE) Vision-Language Models that significantly improves upon its predecessor, DeepSeek-VL. DeepSeek-VL2 demonstrates superior capabilities across various tasks, including but not limited to visual question answering, optical character recognition, document/table/chart understanding, and visual grounding.

Release Date
2024-12-13
Parameters
16.0B
Context Length
Modalities

Capability Radar

70
general
0
coding
60
reasoning
43
scienceest.
42
agents
90
multimodal

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

Rankings

Domain#RankScoreSource
Multimodal Ranking75
30.0
LS

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

General

MMT-Bench62.9%SR
MMStar57.0%SR
MMMU48.0%SR

Image To Text

DocVQADocVQA (2020)92.3%SR
TextVQA83.4%SR
OCRBench83.4%SR

Math

MathVista60.7%SR

Multimodal

ChartQAMasry et al. (2022)84.5%SR
MMBench80.3%SR
AI2D80.0%SR
MMBench-V1.179.3%SR
InfoVQA75.8%SR
MME21.2%SR

Spatial Reasoning

RealWorldQA65.4%SR

AA Evaluation Indices

(Artificial Analysis)

No AA evaluation data available

LLM Stats Category Scores

(LLM Stats (zeroeval))
Image To Text
90
Multimodal
70
Spatial Reasoning
70
General
70
Vision
70
Math
60
Reasoning
60
Healthcare
50

Pricing

No pricing data available

Speed

No speed data available

Provider Price Ranking

No provider data available

External Sources