DeepSeek: DeepSeek V4 Flash Vision Experimental
deepseek/deepseek-v4-flash-vision-exp
Access DeepSeek V4 Flash Vision Experimental from DeepSeek using Puter.js AI API.
Get Started// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "deepseek/deepseek-v4-flash-vision-exp"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "deepseek/deepseek-v4-flash-vision-exp"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://api.puter.com/puterai/openai/v1/",
api_key="YOUR_PUTER_AUTH_TOKEN",
)
response = client.chat.completions.create(
model="deepseek/deepseek-v4-flash-vision-exp",
messages=[
{"role": "user", "content": "Explain quantum computing in simple terms"}
],
)
print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
-d '{
"model": "deepseek/deepseek-v4-flash-vision-exp",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
DeepSeek V4 Flash Vision Experimental is an experimental multimodal version of DeepSeek's V4 Flash model, released by DeepSeek in August 2026. It is a sparse Mixture-of-Experts model with 284B total parameters and 13B activated per token, and it accepts images (JPEG, PNG, GIF, WebP) alongside text through the same API used for V4 Flash, at the same per-token pricing.
DeepSeek reports that it matches V4 Flash on text tasks including agentic reasoning and world knowledge, while adding image understanding for document and chart parsing, visual question answering, and agent workflows that interleave text and images.
On multimodal agent benchmarks, DeepSeek's own numbers show gains over the text-only V4 Flash, with Terminal Bench 2.1 rising from 82.7 to 83.9, ApexBench from 26.2 to 36.5, and Agents' Last Exam from 25.2 to 27.3, approaching Anthropic's Opus 4.8 (85.0 on Terminal Bench 2.1). On NL2Repo it trails Opus 4.8, 57.7 versus 69.7.
Context Window 1M
tokens
Max Output 384K
tokens
Input Cost $0.44
per million tokens
Output Cost $1.32
per million tokens
Input text, image
modalities
Tool Use Yes
Release Date Aug 21, 2026
Model Playground
Try DeepSeek V4 Flash Vision Experimental instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
More AI Models From DeepSeek
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 is the production release of DeepSeek's V4 Pro flagship model, a 1.6-trillion-parameter Mixture-of-Experts model with 49B parameters active per token, marking the end of a four-month preview. It keeps the preview's 1,048,576-token context window, 384,000-token max output, and three reasoning modes (non-thinking, high, and max effort). DeepSeek reports large gains over the preview build: Terminal Bench 2.1 rose from 72.1 to 87.9 and DeepSWE from 12.8 to 62.7. At max reasoning effort it scores 80.6% on SWE-bench Verified, matching Gemini 3.1 Pro, along with 90.1% on GPQA Diamond, 87.5% on MMLU-Pro, and a Codeforces rating of 3,206, ahead of GPT-5.4's 3,168. Priced at $0.38 per million input tokens and $1.14 per million output tokens. Pinning the 0813 route locks an application to this exact checkpoint rather than the rolling deepseek-v4-pro alias, useful for agentic coding and long-context reasoning tasks.
ChatDeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 is the July 31, 2026 dated snapshot of DeepSeek's V4 Flash, a sparse Mixture-of-Experts chat model with a 1,048,576-token context window, hosted here on Together AI's infrastructure. It keeps the April preview's architecture but was re-post-trained with a pipeline focused on coding, reasoning, agents, and tool use. In DeepSeek's own benchmarks the agentic gains over the preview are large: Terminal Bench 2.1 rises from 61.8 to 82.7, Cybergym from 38.7 to 76.7, and DeepSWE from 7.3 to 54.4. On these vendor-reported numbers it also outscores the V4 Pro preview, though third-party reproduction was not available at release. Pinning the dated 0731 route locks an application to this exact checkpoint, while a rolling deepseek-v4-flash route can move to newer versions. It fits high-volume coding assistants, chat systems, and agent workflows where cost and latency matter, and this route's 1M-token max output gives more headroom for long agent traces than the original preview route.
ChatDeepSeek V4 Flash
DeepSeek V4 Flash is a lightweight, efficiency-focused Mixture-of-Experts model from DeepSeek, with 284B total parameters and 13B activated per token. It supports a 1M-token context window and configurable reasoning modes (standard, high, and max thinking effort). Designed as the fast and economical option in the V4 family, Flash delivers reasoning capabilities that closely approach the larger V4 Pro, and performs on par with it on simpler agentic tasks. In its max reasoning mode, it achieves comparable reasoning scores to Pro when given a larger thinking budget. At $0.14/M input and $0.28/M output tokens, it's one of the cheapest frontier-tier models available — well suited for high-throughput workloads like coding assistants, chat systems, and agent pipelines where latency and cost matter most.
Frequently Asked Questions
You can access DeepSeek V4 Flash Vision Experimental by DeepSeek through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add DeepSeek V4 Flash Vision Experimental to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0.44 |
| Output | $1.32 |
DeepSeek V4 Flash Vision Experimental was created by DeepSeek and released on Aug 21, 2026.
DeepSeek V4 Flash Vision Experimental supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,097 pages of text.
DeepSeek V4 Flash Vision Experimental can generate up to 384K tokens in a single response.
DeepSeek V4 Flash Vision Experimental accepts the following input types: text, image. It produces: text.
Yes, DeepSeek V4 Flash Vision Experimental supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the DeepSeek V4 Flash Vision Experimental API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Get started with Puter.js
Add DeepSeek V4 Flash Vision Experimental to your app without worrying about API keys or setup.
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