githuganswered from live GitHub & Hugging Face data
What's the best model for image-text-to-text tasks — Qwen/Qwen3.8-Flash or deepseek-ai/DeepSeek-V4-Flash-Vision-Exp?
🤗 Qwen/Qwen3.6-35B-A3B-FP8apache-2.0
Downloads13M/mo
Accessopen · no token
Taskimage-text-to-text
Updated4mo ago
Downloads2.5M/mo
Accessopen · no token
Taskimage-text-to-text
Updated10mo ago
Qwen/Qwen3.6-35B-A3B is the better choice over DeepSeek-V4-Flash for image-text-to-text tasks based on adoption and community support. It has significantly more downloads, indicating broader usage, and offers a solid license for commercial projects.
Comparison Overview
| Model | Downloads | Likes | License | Last Updated | Hugging Face Link |
|---|---|---|---|---|---|
| Qwen/Qwen3.6-35B-A3B-FP8 | 13,314,395 | 370 | Apache-2.0 | April 24, 2026 | Link |
| deepseek-ai/DeepSeek-OCR | 2,472,241 | 3,350 | MIT | November 4, 2025 | Link |
Verdict
- Qwen/Dominance: With over 13 million downloads, it shows strong traction. Its Apache-2.0 license allows for commercial use.
- DeepSeek's Strength: While it has a good amount of likes and solid functionality, its adoption is lower, which raises concerns about long-term support.
Recommendation: Choose Qwen/Qwen3.6-35B-A3B-FP8 for robust community support and commercial license compatibility. Opt for DeepSeek only if specific features are critical and you don’t mind the lesser adoption.