Qwen2.5 VL 72B Instruct
Open weightVisionQwen · Released February 2025 · Knowledge cutoff June 2024
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.
It is part of Alibaba's Qwen family, a broad catalog where Max leads on capability and Max Prime serves it at higher throughput, Plus balances cost, and Flash, VL and the open-weight sizes cover high-volume, vision and self-hosted work.
Facts and pricing
- Provider
- Qwen
- Context window
- 128K tokens
- Input price
- 9.6 credits / 1M tokens ($0.80 raw)
- Output price
- 12.0 credits / 1M tokens ($1.00 raw)
- Vision (image input)
- Yes
- Tool calling
- No
- Extended reasoning
- No
Credits are what Zeplik bills: 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin. Raw prices shown per 1M tokens.
Try Qwen2.5 VL 72B Instruct now
What Qwen2.5 VL 72B Instruct is best for
- Everyday chat and drafting on an open-weight model with transparent lineage
- Working with images: screenshots, charts, photos and scanned documents alongside text
Example prompts
Prompts that suit a open weight model like Qwen2.5 VL 72B Instruct:
- Draft a project update from these rough notes
- Explain how HTTPS works to a curious teenager
- Turn this list of features into a changelog entry
- Brainstorm objections to this proposal and how to answer them
Qwen family
| Model | Context | Input cr/M | Output cr/M | Released |
|---|---|---|---|---|
| Qwen3.8 Max Prime | 1M | 48.0 | 144 | September 2026 |
| Qwen3.8 Omni Flash | 1M | 1.8 | 5.6 | September 2026 |
| Qwen3.8 Max (0902) | 1M | 24.0 | 72.0 | September 2026 |
| Qwen3.8 Flash | 1M | 1.8 | 5.6 | August 2026 |
| Qwen3.8 27B | 262K | 1.8 | 22.5 | August 2026 |
| Qwen3.8 2.4T A95B | 1M | 24.0 | 72.0 | August 2026 |
| Qwen3.7 Flash | 1M | 0.36 | 1.6 | July 2026 |
| Qwen3.7 Plus | 1M | 3.8 | 15.4 | June 2026 |
| Qwen3.7 Max | 1M | 17.7 | 53.1 | May 2026 |
| Qwen3.5 Plus 2026-04-20 | 1M | 3.6 | 21.6 | April 2026 |
Model comparisons
- Llama 4 Maverick vs Qwen3.7 Max
- DeepSeek V4 Pro 0423 vs Qwen3.7 Max
- Qwen3.7 Max vs GLM 5.2
- Qwen3.7 Max vs Qwen3.7 Plus
Frequently asked questions
- What is Qwen2.5 VL 72B Instruct?
- Qwen2.5 VL 72B Instruct is an AI model by Qwen. 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.
- How much does Qwen2.5 VL 72B Instruct cost on Zeplik?
- Input tokens cost 9.6 credits per million and output tokens 12.0 credits per million (1 credit = $0.10; the raw provider rates are $0.80 and $1.00 per million). New accounts start with free credits.
- How long can a conversation with Qwen2.5 VL 72B Instruct be?
- Qwen2.5 VL 72B Instruct has a 128K-token context window (128,000 tokens), which covers the conversation plus any documents you attach.
- Does Qwen2.5 VL 72B Instruct support images and tools?
- Qwen2.5 VL 72B Instruct accepts image input and does not support tool calling.
Related models
Qwen3.8 Max Prime is a higher-throughput variant of Qwen3.8 Max from Alibaba's Qwen team, served as a separate SKU at a higher price point.
Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding.
Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team.
Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.
Qwen3.8 27B is an open-weight dense vision-language model from Qwen.
Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total.
More you can do with Qwen2.5 VL 72B Instruct
- 468 AI skillsReady-to-run expert methods for writing, data, code and more, each running on Qwen2.5 VL 72B Instruct or any model you pick.
- 997 integrationsConnect Gmail, Slack, GitHub, Notion and hundreds more so the assistant can work in your apps.
- Simple pricingPlus, Pro and Max plans with a monthly credit allowance that works across every model.