Claude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MClaude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/M
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QwenMultimodal

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 32K-token context window.

Released Aug 2024Modalities text, visionOfficial model page ↗Compare with another model →Estimate monthly cost →
INPUT
$2.000/M
per million input tokens
OUTPUT
$2.000/M
per million output tokens
BLENDED 70/30
$2.000/M
default reference rate · how it's calculated →
CONTEXT
32K
32,000 tokens
What it's 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.
HumanEval75%
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 32K tokens of context (32,000 tokens).

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.