Qwen2.5 VL 72B Instruct
qwen/qwen2.5-vl-72b-instruct
Qwen2.5 VL 72B Instruct is a multimodal model that processes text and image inputs to generate text outputs. It has a context length of 128,000 tokens and is available as open weights. The model was released in September 2024.
- structured outputs
- open-weight
At a glance
Specifications
What the API gives you
- Context window
- 128K tokens
- Max output
- 115K tokens
- Input price
- $0.80 / 1M tokens
- Output price
- $1 / 1M tokens
- Cache read
- $0.40 / 1M tokens
- Modalities
- text, image → text
- Knowledge cutoff
- Jun 30, 2024
- Released
- Jan 1, 2024
Measured evidence
Public benchmark record
- LMArena Vision
- 1085 Elo2026-10-19
LMArena data licensed CC-BY-4.0. Aider (Apache-2.0) and SWE-bench (MIT) are open. Design Arena uses blind human preference.
Open-weight model on Hugging Face.
Task evidence
How broad is the support?
Each status is exact to this model version and the selected task. Official release claims remain provisional.
- Best LLM for Image UnderstandingProvisional evidence
50% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Reasoning or VLMEvalKit tasks. 2 of 3 configured evaluation feeds currently have results.
- Best LLM for Document ParsingProvisional evidence
16% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Document or LMArena Vision OCR. 3 of 5 configured evaluation feeds currently have results.
- Best LLM for OCR & DocumentsProvisional evidence
15% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Document or LMArena Vision OCR. 3 of 5 configured evaluation feeds currently have results.
- Best LLM for Vision & DocumentsProvisional evidence
15% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Document or LMArena Vision Diagrams. 4 of 6 configured evaluation feeds currently have results.
- Best LLM for Charts & DiagramsProvisional evidence
15% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Document or LMArena Vision Diagrams. 3 of 5 configured evaluation feeds currently have results.
Recommendation coverage
Where this model appears
Not currently included in a published recommendation. The task evidence panel above says exactly what is confirmed and what is still missing.
Catalog data via OpenRouter and models.dev. Last checked within the past 6 hours.