Qwen
Qwen
Multimodal

Qwen2-VL-72B

Vision Large

Qwen2 vision-language flagship. Strong on document understanding, chart QA, and agentic UI tasks.

Qwen2-VL-72B is a multimodal AI model from Qwen. It costs $2.000 per million input tokens and $2.000 per million output tokens (blended $2.000/M), with a 32,000-token context window.

INPUT
$2.000/M
per million input tokens
OUTPUT
$2.000/M
per million output tokens
BLENDED 70/30
$2.000/M
unchanged since 3 May
CONTEXT
32,000
tokens
What it is good at
  • Strong vision
  • Document understanding
  • Open weights
  • Long-video support
Typical use cases
  • Self-hosted vision QA
  • Document parsing
  • UI agents

Benchmarks

vs. best public score
MMLU84%
Multitask academic knowledge across 57 subjects.
Python function synthesis from docstrings.
LMArena Elo1196 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

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Frequently asked questions

How much does Qwen2-VL-72B cost?

Qwen2-VL-72B costs $2.000 per million input tokens and $2.000 per million output tokens, for a blended reference rate of $2.000 per million tokens.

What is Qwen2-VL-72B's context window?

Qwen2-VL-72B supports up to 32,000 tokens of context in a single request.

What is Qwen2-VL-72B best for?

Qwen2-VL-72B is well suited to Strong vision, Document understanding and Open weights.

Who makes Qwen2-VL-72B?

Qwen2-VL-72B is developed and served by Qwen. It was released in Aug 2024.

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