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DeepSeek

DeepSeek: DeepSeek V4 Flash (0731)

deepseek/deepseek-v4-flash-0731

Access DeepSeek V4 Flash (0731) 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-0731"
}).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-0731"
        }).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-0731",
    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-0731",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

DeepSeek V4 Flash 0731 is DeepSeek's July 31, 2026 dated checkpoint of V4 Flash, a sparse Mixture-of-Experts chat model with 284B total parameters and 13B active per token. This route runs on Alibaba's infrastructure with a 1,000,000-token context window and adjustable reasoning effort (low, high, max).

It was re-post-trained for coding agents and tool use, and DeepSeek reports it scoring 82.7 on Terminal Bench 2.1 (up from 61.8 for the April preview), 76.7 on Cybergym, 70.3 on Toolathlon, and 54.4 on DeepSWE, outscoring the larger V4 Pro preview on these agentic tasks despite far fewer activated parameters. At max reasoning effort it also reaches 89.0% on ARC-AGI-1 and 61.4% on ARC-AGI-2, at $0.02 and $0.04 per task.

These figures are vendor-reported and weren't independently reproduced at release. Pinning the dated route locks an application to this exact checkpoint, suited to coding agents, tool-calling workflows, and long-context codebase or document analysis.

Context Window 1M

tokens

Max Output 384K

tokens

Input Cost $0.44

per million tokens

Output Cost $1.32

per million tokens

Input text

modalities

Tool Use Yes

 

Knowledge Cutoff May 2025

 

Release Date Jul 31, 2026

 

Model Playground

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This playground uses the Puter.js AI API — no API keys or setup required.

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DeepSeek V4 Flash Vision Experimental

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.

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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.

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DeepSeek 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

How do I use DeepSeek V4 Flash (0731)?

You can access DeepSeek V4 Flash (0731) 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.

Is DeepSeek V4 Flash (0731) free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add DeepSeek V4 Flash (0731) to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

What is the pricing for DeepSeek V4 Flash (0731)?
DeepSeek V4 Flash (0731) costs $0.44 per 1M input tokens and $1.32 per 1M output tokens.
Price per 1M tokens
Input$0.44
Output$1.32
Who created DeepSeek V4 Flash (0731)?

DeepSeek V4 Flash (0731) was created by DeepSeek and released on Jul 31, 2026.

What is the context window of DeepSeek V4 Flash (0731)?

DeepSeek V4 Flash (0731) supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,000 pages of text.

What is the max output length of DeepSeek V4 Flash (0731)?

DeepSeek V4 Flash (0731) can generate up to 384K tokens in a single response.

What is the knowledge cutoff of DeepSeek V4 Flash (0731)?

DeepSeek V4 Flash (0731) has a knowledge cutoff date of May 2025. This means the model was trained on data available up to that date.

What types of input can DeepSeek V4 Flash (0731) process?

DeepSeek V4 Flash (0731) accepts the following input types: text. It produces: text.

Does DeepSeek V4 Flash (0731) support tool use (function calling)?

Yes, DeepSeek V4 Flash (0731) supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the DeepSeek V4 Flash (0731) 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.

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