Qwen: Qwen2.5 VL 32B Instruct
Analysis Summary
Qwen2.5 VL 32B Instruct is a vision-language model from Qwen (Alibaba) with a 128K context window and strong multimodal focus. Its MMLU-Pro score of 0.697 and GPQA of 0.466 reflect moderate general reasoning, and its LiveCodeBench score of 0.248 suggests basic coding capability. Agentic and coding indices are not available, limiting full technical assessment.
For businesses, it is best suited to vision-enabled content tasks: image analysis, document understanding, and multimodal content generation. The absence of tool use or function calling data means it is less suited to structured agentic pipelines compared to peers with those capabilities confirmed.
At $0.20 input and $0.60 output per million tokens, pricing is competitive for a 32B vision-language model. Teams needing affordable multimodal processing for content or document workflows will find it a reasonable option, though provider accessibility may be a consideration for some enterprise environments.
Assessed June 17, 2026
Editorial notes
Qwen2.5 VL 32B Instruct from Qwen delivers vision-language capability with a 128K context window at low cost, suited to multimodal content tasks but with limited agentic benchmark data.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Qwen: Qwen2.5 VL 32B Instruct compares
Qwen: Qwen2.5 VL 32B Instruct ranks #271 of 380 AI models we track for overall intelligence. Its 128K-token context window is larger than 43% of the models we list. At $0.20 per million input tokens it is cheaper than 53% of comparable models.
About Qwen: Qwen2.5 VL 32B Instruct
Qwen2.5-VL-32B is a multimodal vision-language model fine-tuned through reinforcement learning for enhanced mathematical reasoning, structured outputs, and visual problem-solving capabilities. It excels at visual analysis tasks, including object recognition, textual..
Capabilities
Benchmark Scores
Intelligence
Technical
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen2.5 VL 32B Instruct stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
qwen/qwen2.5-vl-32b-instruct
|
| Provider | qwen |
| Release Date | March 24, 2025 |
| Context Length | 128,000 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.20 | $0.000200 |
| Output | $0.60 | $0.000600 |
Leaderboard Categories
External Resources
Frequently asked questions about Qwen: Qwen2.5 VL 32B Instruct
How much does Qwen: Qwen2.5 VL 32B Instruct cost?
Qwen: Qwen2.5 VL 32B Instruct costs $0.20 per million input tokens and $0.60 per million output tokens.
What is the context window of Qwen: Qwen2.5 VL 32B Instruct?
Qwen: Qwen2.5 VL 32B Instruct has a context window of 128,000 tokens (128K).
What can Qwen: Qwen2.5 VL 32B Instruct do?
Qwen: Qwen2.5 VL 32B Instruct supports image/vision input.
Who created Qwen: Qwen2.5 VL 32B Instruct?
Qwen: Qwen2.5 VL 32B Instruct is developed by Qwen and was released on March 24, 2025.
