Analysis Summary
Qwen2.5 VL 72B Instruct is a multimodal text and image model with vision and a 128,000-token context window. It costs $0.25 per million input tokens and $0.75 per million output tokens. The supplied record contains no intelligence, coding, instruction-following, or agentic benchmarks, so capability beyond its stated modality and context must be tested directly.
Vision and long context make it relevant to screenshot interpretation, creative asset review, visual document analysis, and content workflows that combine copy with images. The price is appropriate for pilots and moderate-volume processing. Tool use and function calling are not listed, so it should not be treated as an agent platform based on the available evidence. Adopt it for multimodal content support with human review, especially where image input adds value to the task.
Assessed August 9, 2026
Editorial notes
Qwen2.5 VL 72B Instruct offers vision and a 128K context window at low pricing, supporting visual document and content tasks; the supplied data has no benchmarks for judging advanced reliability.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen2.5 VL 72B Instruct offers vision and a 128K context window at low pricing, supporting visual document and content tasks; the supplied data has no benchmarks for judging advanced reliability.
How Qwen: Qwen2.5 VL 72B Instruct compares
Its 128K-token context window is larger than 37% of the models we list. At $0.80 per million input tokens it is cheaper than 30% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.80 | $0.000800 |
| Output | $1.00 | $0.001000 |
What would Qwen: Qwen2.5 VL 72B Instruct cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 717 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen2.5 VL 72B Instruct for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen2.5 VL 72B Instruct
Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
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Frequently asked questions about Qwen: Qwen2.5 VL 72B Instruct
How much does Qwen: Qwen2.5 VL 72B Instruct cost?
Qwen: Qwen2.5 VL 72B Instruct costs $0.80 per million input tokens and $1.00 per million output tokens.
What is the context window of Qwen: Qwen2.5 VL 72B Instruct?
Qwen: Qwen2.5 VL 72B Instruct has a context window of 128,000 tokens (128K).
What can Qwen: Qwen2.5 VL 72B Instruct do?
Qwen: Qwen2.5 VL 72B Instruct supports image/vision input.
Who created Qwen: Qwen2.5 VL 72B Instruct?
Qwen: Qwen2.5 VL 72B Instruct is developed by Qwen and was released on February 1, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 25, 2026 8:38 pm