deepseek-v4-flash-0731
DeepSeek V4 Flash 0731 is a re-post-trained revision of DeepSeek V4 Flash, a sparse mixture-of-experts model with 13B active out of 284B total parameters, suited for coding, reasoning and agent workflows.
料金： 入力：100 万トークンあたり 10.416 クレジット（約 $0.05）、出力：100 万トークンあたり 72 クレジット（約 $0.36）。
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このデモページにはクライアントの完全な記憶機能はありません。すべての機能をご利用いただくには、クライアントまたは CLI から接続してください。
DeepSeek のほかの AI モデル
DeepSeek V4 Flash 0731 API on ModelFold
DeepSeek V4 Flash 0731 is a re-post-trained revision of DeepSeek V4 Flash, a sparse mixture-of-experts model with 13B active out of 284B total parameters, suited for coding, reasoning and agent workflows. Try DeepSeek V4 Flash 0731 in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the DeepSeek V4 Flash 0731 API
DeepSeek V4 Flash 0731 at a glance
DeepSeek V4 Flash 0731 is a chat model from DeepSeek. It accepts text as input and returns text, with a context window of up to 1M tokens.
Use it without hosting anything
On ModelFold you call DeepSeek V4 Flash 0731 with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of DeepSeek V4 Flash 0731
Up to 1M tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Function calling
DeepSeek V4 Flash 0731 supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.
Adjustable reasoning effort
Choose a reasoning effort level (low, medium or high) per request to balance depth of thinking against speed and token usage.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use DeepSeek V4 Flash 0731 on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how DeepSeek V4 Flash 0731 responds before writing any code.
- 2
Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "deepseek-v4-flash-0731" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with DeepSeek V4 Flash 0731
AI coding assistants
Generate, explain, debug and refactor code, review pull requests and work through multi-file changes in developer tools and IDE plugins.
Autonomous agents
Build agents that plan multi-step tasks, call your tools and APIs, and keep working toward a goal across long sessions.
High-volume pipelines
Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.
Analysis and complex reasoning
Work through research questions, data interpretation, planning and other problems that need careful step-by-step reasoning.
Frequently Asked Questions
What is DeepSeek V4 Flash 0731?⌄
DeepSeek V4 Flash 0731 is a re-post-trained revision of DeepSeek V4 Flash, a sparse mixture-of-experts model with 13B active out of 284B total parameters, suited for coding, reasoning and agent workflows.
Which inputs does DeepSeek V4 Flash 0731 support?⌄
DeepSeek V4 Flash 0731 accepts text and returns text. Through ModelFold you send text messages; documents attached in the Playground are converted to text.
How long is the context window of DeepSeek V4 Flash 0731?⌄
Up to 1M tokens, shared between your input and the model’s output.
Does DeepSeek V4 Flash 0731 support function calling?⌄
Yes. DeepSeek V4 Flash 0731 supports tools / function calling through the standard tools parameter of the chat completions API.
How is DeepSeek V4 Flash 0731 billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call DeepSeek V4 Flash 0731 through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "deepseek-v4-flash-0731", using your ModelFold API key as the Bearer token.
| 入力 | 10.416 クレジット 1M tokens≈ $0.05 |
| 出力 | 72 クレジット 1M tokens≈ $0.36 |
トークン単位で課金し、入力と出力は別料金です。思考トークンは出力に含まれます。Playground でも同じ計算を使います。
API ドキュメントを見る →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"deepseek-v4-flash-0731","messages":[{"role":"user","content":"Hello"}]}'