What is DeepSeek V4 Flash 0731's context window?

DeepSeek V4 Flash 0731 supports a context window of 1,000,000 tokens, allowing you to process large documents and maintain long conversations.

How to use DeepSeek V4 Flash 0731 API via Ofox?

Simply set your base URL to https://api.ofox.ai/v1 and use your Ofox API key. The API is OpenAI-compatible — just change the base URL and API key in your existing code.

What capabilities does DeepSeek V4 Flash 0731 support?

DeepSeek V4 Flash 0731 supports the following capabilities: function calling, prompt caching. Access all features through the Ofox.ai unified API.

DeepSeek V4 Flash 0731

Name: DeepSeek V4 Flash 0731
Brand: deepseek
Price: 0.44 USD
Availability: InStock

Chat-30%

deepseek/deepseek-v4-flash-0731

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DeepSeek V4 Flash 0731 is the 2026-07-31 dated snapshot of DeepSeek's efficiency-optimized Mixture-of-Experts model, with 284B total parameters and 13B activated parameters. It is built for fast inference and high-throughput workloads while staying strong on coding and analytical tasks. It supports tool use and prompt caching; it exposes no separate thinking mode. Context window: 1M tokens, output: 384K. The unusually large 384K output ceiling suits jobs that emit long artifacts — full file rewrites, bulk translation, generated reports — in a single response. Available via OpenAI and Anthropic protocols through Ofox.

Context Window

Max Output Tokens

384K

Released

2026-07-31

Capabilities

Function CallingPrompt Caching

Available Providers

Volcengine

Supported Protocols

openaianthropic

Providers

Volcengineprovider.type: "volcengine"

-30%

Input Tokens

$0.308/M

$0.44/M

Output Tokens

$0.924/M

$1.32/M

Cache Read

$0.0098/M

$0.014/M

Protocols

openai/v1/chat/completions/v1/responses

anthropic

Playground

Open in OfoxChat

Code Examples

from openai import OpenAI

client = OpenAI(
    base_url="https://api.ofox.ai/v1",
    api_key="YOUR_OFOX_API_KEY",
)

response = client.chat.completions.create(
    model="deepseek/deepseek-v4-flash-0731",
    messages=[
        {"role": "user", "content": "Hello!"}
    ],
)

print(response.choices[0].message.content)