Model comparison
Qwen2.5-VL-3B-Instruct vs StarCoder2 15B
Capability radar, value bars, and side-by-side posture.
Qwen2.5-VL-3B-Instruct
Not scored
value score
StarCoder2 15B
70
value score
Qwen2.5-VL-3B-Instruct ctx
—
StarCoder2 15B ctx
16K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- StarCoder2 15B70
Attribute tape
| Field | Qwen2.5-VL-3B-Instruct | StarCoder2 15B |
|---|---|---|
| Developer | Hugging Face | Hugging Face |
| Context | — | 16K |
| Modalities | Image-text-to-text | Text, Code |
| Openness | — | Open Weights |
| Speed | — | — |
| Price | — | — |
| Value score | — | 70 |
| Summary | Qwen2.5-VL-3B-Instruct is a 3-billion-parameter instruction-tuned vision-language model from Alibaba Cloud's Qwen team, capable of understanding images, documents, charts, and video. It is the smallest variant in the Qwen2.5-VL family, designed for efficient deployment across multimodal tasks including document analysis, visual question answering, structured output generation, and agentic UI interaction. | BigCode open coding model on Hugging Face. |