DeepSeek-V4-Flash-Vision-Exp
DeepSeek-V4-Flash-Vision-Exp is an experimental multimodal vision-understanding model released on the DeepSeek API platform. It extends the DeepSeek-V4-Flash family with visual understanding capabilities targeted at agent and multimodal tasks.
What it does
Use it for visual understanding and multimodal agent tasks, or for text-only agent tasks.
- Availability
- Repository includes model metadata and inference instructions; model shards are referenced by model.safetensors.index.json.
- Pricing model
- Not established
- Deployment
- Inference instructions provided for vLLM and SGLang.
- Privacy
- Not established
- Licence
- MIT License
Capability
Modality
Access
Deployment
Pricing
Target user
Evidence
8 claims- The model is available on the DeepSeek API platform and can be selected with model='deepseek-v4-flash-vision-exp'. [1]
Today, the new multimodal vision understanding model DeepSeek-V4-Flash-Vision-Exp is now available on the DeepSeek API platform.
DeepSeek. Quoted text is outside CC BY 4.0 and keeps its original rights. - On pure-text capabilities (agent, reasoning, world knowledge), it is on par with the official DeepSeek-V4-Flash. [1]
In terms of pure-text capabilities (agent, reasoning, world knowledge, etc.), DeepSeek-V4-Flash-Vision-Exp is on par with the official DeepSeek-V4-Flash.
DeepSeek. Quoted text is outside CC BY 4.0 and keeps its original rights. - The model incorporates visual modules to unlock visual understanding capabilities. [2]
It builds on the DeepSeek-V4-Flash architecture by incorporating visual modules and undergoing continued training to unlock visual understanding capabilities.
DeepSeek. Quoted text is outside CC BY 4.0 and keeps its original rights. - DeepSeek says it achieves substantial improvements on multimodal agent capabilities compared with DeepSeek-V4-Flash-0731. [2]
Compared to DeepSeek-V4-Flash-0731, DeepSeek-V4-Flash-Vision-Exp achieves substantial improvements on its multimodal agent capabilities, while maintaining comparable performance on text-only agent tasks.
DeepSeek. Quoted text is outside CC BY 4.0 and keeps its original rights. - DeepSeek says text-only agent-task performance is comparable to DeepSeek-V4-Flash-0731. [2]
Compared to DeepSeek-V4-Flash-0731, DeepSeek-V4-Flash-Vision-Exp achieves substantial improvements on its multimodal agent capabilities, while maintaining comparable performance on text-only agent tasks.
DeepSeek. Quoted text is outside CC BY 4.0 and keeps its original rights. - The repository provides prompt encoding and minimal PyTorch inference instructions. [2]
This repository contains the tokenizer, prompt encoding reference, and a
DeepSeek. Quoted text is outside CC BY 4.0 and keeps its original rights. - The model can be served using vLLM or SGLang according to the provided instructions. [2]
- The repository is licensed under the MIT License. [2]
This repository is licensed under the [MIT License](LICENSE).
DeepSeek. Quoted text is outside CC BY 4.0 and keeps its original rights.
Sources
2
1
DeepSeekOwner-controlled
https://api-docs.deepseek.com/updates#2026-08-21
Retrieved 2026-10-28 00:39 UTC
Verified
2
DeepSeekOwner-controlled
https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp
Retrieved 2026-10-28 00:39 UTC
Verified
Versions
6| Version | Effective | Change | Changed fields | State |
|---|---|---|---|---|
| 6 | 2026-10-04 18:54 UTC | evidence update | score | Current |
| 5 | 2026-10-03 19:51 UTC | evidence update | score | Current |
| 4 | 2026-09-30 22:34 UTC | evidence update | score | Current |
| 3 | 2026-09-25 03:52 UTC | material change | capability, access, deployment, availability, deployment | Current |
| 2 | 2026-09-24 13:37 UTC | evidence update | score | Current |
| 1 | 2026-08-21 00:00 UTC | publication | None | Current |
In briefs
2- DeepSeek-V4-Flash-Vision-Exp from DeepSeek, the one AI development in week 34, 2026 Weekly brief 2026-W34
- DeepSeek-V4-Flash-Vision-Exp from DeepSeek, the one AI development on 21 August 2026 Daily brief 2026-08-21
Original catalog content is licensed under CC BY 4.0, attributed to wowsuchai. Source quotations and linked content keep their original rights.
