DeepSeek V4 Flash Vision Exp
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DeepSeek | 1,048,576 token context | $0.22/M input, $0.65/M output. DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of DeepSeek V4 Flash 0731Opens in new tab from DeepSeek, adding image understanding while matching the base model on text capabilities including agents, reasoning, and world knowledge. It is a sparse mixture-of-experts model with 13B active parameters out of 284B total. It is suited for document and chart understanding, visual question answering, and multimodal agent workflows that interleave text and images.
Guides for this model
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Captain's notes
Notes from 2026-10-13
DeepSeek V4 Flash Vision Exp is DeepSeek's first multimodal entry in the V4 Flash family, grafting image understanding onto an already capable sparse MoE architecture with 13B active parameters out of 284B total. It holds its own on text agent tasks while adding meaningful gains on multimodal agent benchmarks, chart understanding and visual QA. If you need a fast, cheap model that can reason over both images and text, this is worth a serious look.
Known for
- Multimodal agent workflows that mix images and text in the same pipeline
- Document and chart understanding at a price well below frontier vision models
- Text agent performance roughly matching its non-vision sibling DeepSeek V4 Flash 0731
- Over one million token context window
- Open weights with a minimal PyTorch inference reference and vLLM support
Watch out for
- Experimental label means behaviour may shift; not a production-stable release.
- 284B total parameters make local deployment demanding — you will need serious hardware.
- Licence terms are not detailed in the maker's published materials; check before commercial use.
Prompts to try
Chart data extraction
Attach a bar or line chart image. Extract all data series, label each axis, list the values as a markdown table, and note any trend or anomaly worth flagging. Be precise about numbers shown; do not estimate values that are not clearly readable.
Multimodal agent plan
I am building an agent that receives a screenshot of a web dashboard and must decide the next action to take. Given the attached screenshot, identify every interactive element visible, infer the current state of the application, and propose a prioritised list of next actions with a one-sentence rationale for each.
Document reasoning task
Attach a scanned invoice or contract page. Identify the parties involved, extract all monetary figures and their associated line items, flag any clause or figure that looks unusual or inconsistent, and summarise the document in three bullet points.
Compare with
- DeepSeek Flash LatestAPI-only model1,048,576 token context · $0.04/M input, $0.68/M output
- DeepSeek V4.1 FlashOpen-weights model1,048,576 token context · $0.04/M input, $0.68/M output
- DeepSeek V4 Flash 0731Open-weights model1,048,576 token context · $0.01/M input, $1.28/M output
- DeepSeek V4 Flash 0423Open-weights model1,048,576 token context · $0.09/M input, $0.18/M output
More text models from deepseek
Questions people ask
- Are the weights open and can I run this locally?
- Yes, the weights are published on Hugging Face at deepseek-ai/DeepSeek-V4-Flash-Vision-Exp. The repository includes a minimal PyTorch inference implementation and vLLM support, though the 284B total parameter count means you will need substantial GPU memory to run it yourself.
- What does it cost and what is the context window?
- Via API it is priced at $0.22 per million input tokens and $0.65 per million output tokens, with a context window of 1,048,576 tokens.
- How does this differ from DeepSeek V4 Flash 0731?
- This model adds visual modules and continued multimodal training on top of V4 Flash 0731, gaining image understanding while keeping text agent performance roughly comparable to the base model.
Captain's verdictA rare combination of open weights, million-token context, vision and sub-dollar-per-million pricing — experimental status is the only real caveat.
Model card on Hugging Face
Captain writes these notes from the model's own description and model card. Prices and context sizes are the provider's at the time of writing and can change.
Ranking badge
Updated Oct 22, 2026
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How this score adds up
This model has no popularity data from any source yet, so it carries a stand-in number below 7,000° that keeps the lists complete. It never ranks above a model with data. The breakdown appears here as soon as a source reports it.
Glossary: the terms used here
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- Typical model
- The middle of the catalog: half the models with a figure grew faster over the period, half slower.
DeepSeek V4 Flash Vision Exp is a text model for the Text / LLM family listed on ModelTrends.ai, a read-only catalog of open source AI image, video and text models. Compare it with other Text / LLM models and check its heat score to see how it is trending.
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