DeepSeek
DeepSeek V4.1 Flash
deepseek-v4.1-flash
Total Context
1M
Max Output
384K
Released
N/A
Input$0.2857 / M tokens
Output$1.1429 / M tokens
DeepSeek 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.
Context Window
1M tokens
Maximum Output
384K tokens
Release Date
Aug 21, 2026
Modalities
DeepSeek V4 Flash Vision Exp Pricing
| Input Price | Output Price | Cache Read |
|---|---|---|
| $0.2857/M | $1.1429/M | $0.0057/M |
DeepSeek V4 Flash Vision Exp API Capabilities
Reasoning
Supported
Tool calling
Supported
Temperature parameter
Supported
Attachments
Supported
Knowledge Base
—
Endpoint Protocols
Completions APIResponses APIMessages API
DeepSeek V4 Flash Vision Exp Model Highlights
DeepSeek V4 Flash Vision Exp combines image understanding with the reasoning, agent, and knowledge capabilities of DeepSeek V4 Flash for experimental multimodal workflows.
Image and Text Understanding
The model jointly accepts images and text, allowing visual evidence to be interpreted in the context of a written request.
Flash Text Reasoning
Its text capabilities follow DeepSeek V4 Flash across reasoning, world knowledge, and agent-oriented problem solving.
Multimodal Agent Reasoning
Visual understanding can be incorporated into agent workflows so subsequent decisions reflect information found in images.
DeepSeek V4 Flash Vision Exp Use Cases
DeepSeek V4 Flash Vision Exp is suited to screenshot interpretation, chart and document analysis, and agents that make decisions from visual inputs.
Screenshot Analysis
Inspect application screenshots, describe visible interface states, and identify elements relevant to debugging or user support.
Visual Document Extraction
Read text, tables, and charts from document images and convert the relevant content into an organized textual result.
Visual Agent Workflows
Use information detected in images to select follow-up tools, investigate a problem, and produce a text-based conclusion.
How to Use DeepSeek V4 Flash Vision Exp via the TokenHub API
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)DeepSeek V4 Flash Vision Exp Benchmarks
DeepSeek V4 Flash 0731 (Reasoning, Max Effort)
| Index score | ||
|---|---|---|
| Artificial Analysis Intelligence Index | Artificial Analysis broad capability aggregate | 51.8 |
| Artificial Analysis Coding Index | Artificial Analysis software task aggregate | 69.1 |
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.
Ready to use DeepSeek V4 Flash Vision Exp?
Use one API key to access DeepSeek V4 Flash Vision Exp and more AI models through TokenHub.
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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