QwenReleased Jan 2025Apache 2.0
Qwen2.5 VL 7B Instruct has no score on the current Vision Evals. On the earlier Vision Evals board (last updated July 9, 2026) it passed 52.2% of visual understanding tasks (#63 of 77).
It is an open-weight model from Qwen under the Apache 2.0 license, and free for commercial use.
Qwen2.5 VL 7B Instruct has not yet been evaluated on the current benchmark. The results below are from the legacy version of Vision Evals, our previous benchmark. See the current Vision Evals
| Category | Passed | Score |
|---|---|---|
| Document Understanding | 7 / 9 | 77.8% |
| Defect Detection | 9 / 15 | 60% |
| Spatial Understanding | 11 / 19 | 57.9% |
| Object Understanding | 8 / 14 | 57.1% |
| Object Counting | 0 / 10 | 0% |
Scores based on a single evaluation run · Methodology
View all legacy Vision Evals results →Qwen2.5-VL-7B-Instruct is a 7-billion parameter vision-language model from Alibaba’s QwenLM team, released on January 26, 2025 under the Apache 2.0 license. It is the instruction-tuned variant of the 7B scale in the Qwen2.5-VL family, designed to process multimodal inputs such as text, images, charts, documents, and video. The model enables structured outputs—including JSON for structured content and bounding boxes for visual localization. Weights are publicly available on Hugging Face and GitHub, making it suitable for both research and applied multimodal use.
Qwen2.5 VL 7B Instruct is released under the Apache 2.0 license, so it's commercially usable out of the box: you can ship it in closed-source, commercial products, including self-hosted deployments, without paying a license fee or open-sourcing your code. The Qwen2.5 VL 7B Instruct license is permissive, so no separate commercial license is required.
Apache-2.0 grants an express patent license that terminates if you bring a patent claim over the work, and it disclaims warranties. Validate Qwen2.5 VL 7B Instruct on your own data before you depend on it in production.
Read the full Apache 2.0 license ↗This is the straightforward case: a permissive license is the best technical solution and you are free to deploy Qwen2.5 VL 7B Instruct commercially without open-sourcing your own code.
Do not hesitate to reach out with questions for your commercial project. Our team will help you start solving business problems on the first call. See Roboflow commercial licensing for the models included in each plan.
Talk to salesThis model is released under the Apache License 2.0, a permissive open-source license that allows commercial use, modification, distribution, and patent use.
Yes. Under the terms of the Apache 2.0 license, you can freely use this model for commercial purposes, including in proprietary products. You must retain the copyright notice and disclaimers when redistributing.
License information is provided as a guide and is not legal advice.
Usage
Past 30 DaysEstimated cost per task vs. Visual Understanding score, for this model and others ranked near it. Upper-left is the sweet spot (high quality, low cost). Based on Vision Evals (legacy) results.
6 of 7 models plotted · 1 not yet evaluated
| Model | Score | Median tokens | Est. cost / task | Compare |
|---|---|---|---|---|
| Claude Haiku 4.5 | 58.2% | 2.3K | $0.0030 | Compare |
| GPT-5 Nano | 58.2% | 2.7K | $0.0003 | Compare |
| Qwen3.5 397B A17B | 58.2% | 1.5K | $0.0008 | Compare |
| Gemini 2.5 Flash | 55.2% | 476 | $0.0005 | Compare |
| Gemini 2.5 Flash-Lite | 53.7% | 301 | <$0.0001 | Compare |
| Qwen2.5 VL 7B Instruct(this model) | 52.2% | — | — | — |
| Kimi K2.5 | 35.8% | 2.7K | $0.0027 | Compare |
Other models worth comparing for similar use cases.