How much does DeepSeek V4 Flash 0731 cost?

DeepSeek V4 Flash 0731 costs $0.02 per million input tokens and $0.32 per million output tokens on standard pricing. A workload of 20M input and 5M output tokens a month is about $1.96.

What is the context length of DeepSeek V4 Flash 0731?

DeepSeek V4 Flash 0731 accepts up to 1,048,576 tokens (1M) of input and can return up to 943,718 tokens in one response.

Does DeepSeek V4 Flash 0731 support tool calling and structured outputs?

Yes, DeepSeek V4 Flash 0731 supports function/tool calling and structured (JSON) outputs. Supported tools: Function calling, Structured outputs, JSON mode, Reasoning, Log probabilities, Deterministic seed, Parallel tool calls, Prompt caching.

What inputs and outputs does DeepSeek V4 Flash 0731 support?

DeepSeek V4 Flash 0731 accepts Text as input and produces Text as output.

When was DeepSeek V4 Flash 0731 released?

DeepSeek V4 Flash 0731 was released by DeepSeek in 2026-07-31.

DeepSeek V4 Flash 0731

deepseek-v4-flash-0731

API Provider site

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows.... Built by DeepSeek.

Prices updated recently

Input price

$0.02

per 1M tokens · Standard

Output price

$0.32

per 1M tokens · Standard

Input limit

tokens

Output limit

944K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF

Compare

DeepSeek V4 Flash 0731 price history

6 price records since 9/25/2026 · 4 changes

DeepSeek V4 Flash 0731 cost calculator

Input20M tokens

Output5M tokens

$1.96/month

Standard pricing

Overview

What is DeepSeek V4 Flash 0731?

DeepSeek V4 Flash 0731 is a text & reasoning model from DeepSeek. DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows.... Its 1M context window and $0.02 input price make it a candidate for cost-sensitive, high-throughput applications.

Content workflowsClassification

Benchmarks

DeepSeek V4 Flash 0731 benchmarks & speed

How DeepSeek V4 Flash 0731 scores on standardized evaluations, and where it lands among every model we track.

1234

DesignArena Elo

Better than 51% of 81 models

Latency & design

DesignArena win rate: 46.4%
Design battles judged: 10,428

Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.

Rates

DeepSeek V4 Flash 0731 pricing

Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.

Input · Standard

$0.02

Per 1M tokens

Cached input · Standard

$0.02

Per 1M tokens

Capabilities

DeepSeek V4 Flash 0731 Tools

Tools available when using DeepSeek V4 Flash 0731 through supported provider APIs.

Function calling

Supported

Structured outputs

Supported

JSON mode

Supported

Reasoning

Supported

Built-in web search

Not supported

Log probabilities

Supported

Deterministic seed

Supported

Parallel tool calls

Supported

Prompt caching

Supported

Strengths and limitations

Strengths

Low input cost at $0.02 per million tokens suits high-volume workloads.
1M context supports large documents, repositories and extended conversations.
Supports text & reasoning workloads in one model.

Limitations

Generated tokens cost 18× more than input tokens, which matters for verbose responses.
Large context capacity does not guarantee consistent retrieval across the entire prompt.
Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.

Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.

Same provider