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

providerqwen
releasedJan 1, 2024
context128K
input / M$0.80

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.

  • 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.

  • 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.