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 Guides & Articles
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.
X (Twitter)
DeepSeek ·
DeepSeek-V4-Flash-Vision-Exp is now live on the DeepSeek API Platform! 🚀 🔹 This experimental multimodal model matches DeepSeek-V4-Flash on text capabilities—including agents, reasoning, and world knowledge. 🔹 On multimodal agent benchmarks, V4-Flash-Vision-Exp makes a major https://t.co/t2ELUZAagW
https://pbs.twimg.com/media/HQPAu99aoAALC1F.jpgView originalDeepSeek ·
Multimodality unlocks more agent use cases. 👀 V4-Flash-Vision-Exp works smoothly across agent frameworks, combining visual understanding with a wide range of tools to unlock more practical workflows. 2/n https://t.co/pZFf8Yqw3D
https://pbs.twimg.com/media/HQPDHklb0AAC-6f.jpghttps://pbs.twimg.com/tweet_video_thumb/HQPDJwZaIAAW-ZS.jpghttps://pbs.twimg.com/tweet_video_thumb/HQPDKidaIAAa_nN.jpgView originalDeepSeek ·
Multimodal API support 🔌 🔹 Set model='deepseek-v4-flash-vision-exp' 🔹 Images are tokenized for billing: up to 384 tokens each, at V4-Flash pricing 🔹 Supports Chat Completions, Messages & Responses 🔹 Supports mixed text + image input; images can be provided via base64,
View originalReddit
PSA: Vision now on API
dnohrdk ·
View original🚀 DeepSeek Vision API (v4-flash-vision-exp) Is Out. Here is the TL;DR so you can skip the docs.
Several_Fly694 ·
Read full post
DeepSeek just dropped their multimodal API documentation. I digested the dry text so you don't have to. Here is the absolute meat of it. 👇 ⏱️ The TL;DR Formats: JPEG, PNG, GIF, WebP (reads actual file content, not extensions). Cost Cap: Massive images get auto-resized to ~800x800, capping cost at 384 tokens max per image. Dirt cheap. Instant 400 Error: You cannot put images in system or assistant roles. User role only. Resolution Penalty: Sending 15+ images in one request slashes max resolution from 8192px to 4096px. 📥 3 Ways to Upload (OpenAI Format) Inline Base64: Quickest, but eats into your 48 MiB total request limit. External URL: Pass a public link. Max 32 MiB, must download within 60s. Files API (Pro Move): Upload once, get a file_id, reuse it. Bypasses the 32 MiB single-image cap and allows up to 64 MiB. 🚨 Quick Dev Checklist Save Tokens: Pass "detail": "low" to force 512x512 scaling for fast, cheap OCR. Anthropic Support: Works with their /messages endpoint too, just swap image_url for image blocks. Hard Caps: Max 600 images per request. Max 200 MiB total batch size with file_id. Anyone compared the vision latency against GPT-4o yet? Drop your benchmarks below!
DeepSeek Harness v0.1.1 released
Fun-Doctor6855 ·
View originalYouTube
DeepSeek V4-Flash-Vision-Exp上线！大模型终于“睁眼”了：多模态Agent能力暴涨，接近Opus 4.8，API正式开放！
鲲鹏Talk
View originalDeepSeek V4 Flash Vision实测：识图白菜价，DeepSeek Harness开发App真能放手干了？
抡锤者
View originalDeepSeek 发布多模态模型 DeepSeek-V4-Flash-Vision-Exp【AI 早报 2026-08-22】
橘鸦Juya
View original