/v1/chat/completionsDeepSeek V4 Flash Vision Exp
deepseek-v4-flash-vision-expDeepSeek V4 Flash Vision Exp is an experimental vision-enabled variant of DeepSeek V4 Flash 0731, introducing image understanding capabilities while preserving the base model’s text performance, including agent capabilities, reasoning, and world knowledge. It is built on a sparse Mixture-of-Experts (MoE) architecture with 284B total parameters and 13B active parameters.
Total Context
1Mtokens
Max Output
384Ktokens
Released
Aug 21, 2026
Modalities
DeepSeek V4 Flash Vision Exp Price
| Input Price | Output Price | Cache Read |
|---|---|---|
| $0.4286/M | $1.2857/M | $0.0143/M |
How do I use DeepSeek V4 Flash Vision Exp through the API?
/v1/responses/v1/messagesDeepSeek V4 Flash Vision Exp Benchmark
DeepSeek V4 Flash 0731 (Reasoning, Max Effort)
51.8
/100
Artificial Analysis Intelligence Index
Artificial Analysis broad capability aggregate
Index score
69.1
/100
Artificial Analysis Coding Index
Artificial Analysis software task aggregate
Index score
Metrics sourced from Artificial Analysis
DeepSeek V4 Flash Vision Exp FAQs
Practical guidance for evaluating and using DeepSeek V4 Flash Vision Exp on TokenHub.
What is deepseek-v4-flash-vision-exp?+
It is an experimental DeepSeek multimodal model that accepts text and images and produces text. DeepSeek positions it as the vision-enabled member of the V4 Flash family.
What tasks is this model best suited for?+
It is useful for describing images, reading text in screenshots, analyzing charts, and agent workflows that need both visual evidence and language reasoning.
What are its main strengths?+
Its main advantage is combining V4 Flash text capabilities with native image understanding. It also supports mixed text-image requests across common API styles and can work with tools in agent workflows.
What limitations or tradeoffs should I consider?+
The model is explicitly experimental, so validate reliability before production use. Images are resized and tokenized, which can reduce fine-detail fidelity, and important visual conclusions should be reviewed by a person.
How do I use it through TokenHub?+
If it is available in your TokenHub account, use the exact model ID deepseek-v4-flash-vision-exp with your TokenHub endpoint and credentials. Send text and image content in the request format supported by your selected TokenHub API route.
What should I know about pricing and availability?+
DeepSeek lists the experimental model on its API platform and states that image tokens use V4 Flash pricing, with up to 384 tokens per image after resizing. TokenHub availability and rates can differ, so check the current model listing before deployment.
When should I choose this model over another model?+
Choose it when images are essential to the task and you want V4 Flash-style text and agent capabilities in the same request. For text-only, fine-grained visual, or production-critical workloads, compare accuracy, latency, stability, and cost against alternatives using representative tests.
DeepSeek V4 Flash Vision Exp Media and Demos
Verified public announcements, API guidance, demonstrations, and community discussions about DeepSeek V4 Flash Vision Exp.
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