Qwen2.5-VL-32B
The Sweet Spot for Open-Source Multimodal AI
Qwen2.5-VL-32B launched on March 26, 2025 with 18 votes, #997 of 7,215 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Qwen2.5-VL-32B is the open-source 32B vision-language model. Combines strong language understanding with image/video analysis. Optimized with RL.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
In addition to the original formula, we have further enhanced Qwen2.5-VL-32B's mathematical and problem-solving abilities through reinforcement learning. This has also significantly improved the model's subjective user experience, with response styles adjusted to better align with human preferences. Particularly for objective queries such as mathematics, logical reasoning, and knowledge-based Q&A, the level of detail in responses and the clarity of formatting have been noticeably enhanced. In the past five months since Qwen2-VL’s release, numerous developers have built new models on the Qwen2-VL vision-language models, providing us with valuable feedback. During this period, we focused on…from huggingface.co
Does a similar job
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Qwen3.5 SmallMar 2026 · huggingface.co · ▲3550.8B-9B native multimodal w/ more intelligence, less compute
Qwen-2.5-32B is now the best open source OCR model2025 · github.com · ▲211Last week was big for open source LLMs. We got: - Qwen 2.5 VL (72b and 32b) - Gemma-3 (27b) - DeepSeek-v3-0324 And a couple weeks ago we got the new mistral-ocr model. We updated our OCR benchmark to include the new models. We evaluated 1,000 documents for JSON extraction accuracy. Major takeaways: - Qwen 2.5 VL (72b and 32b) are by far the most impressive. Both landed right around 75% accuracy (equivalent to GPT-4o’s performance). Qwen 72b was only 0.4% above 32b. Within the margin of error. - Both Qwen models passed mistral-ocr (72.2%), which is specifically trained for OCR. - Gemma-3…



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