DeepSeek V4 Flash Vision Exp

deepseek-v4-flash-vision-exp

DeepSeek 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 PriceOutput PriceCache Read
$0.4286/M$1.2857/M$0.0143/M

How do I use DeepSeek V4 Flash Vision Exp through the API?

POSTopenai/v1/chat/completions
POSTopenai-response/v1/responses
POSTanthropic/v1/messages

DeepSeek 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 Media and Demos

Verified public announcements, API guidance, demonstrations, and community discussions about DeepSeek V4 Flash Vision Exp.

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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.