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DeepSeek: DeepSeek V4 Flash 0423

deepseek/deepseek-v4-flash

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...

Modalities

TextText

In / out price

$0.042 / $0.084 per 1M

Context

1.05M

Released

Apr 24, 2026

Why use DeepSeek V4 Flash 0423

  • Step-by-step reasoning mode
  • Tool and function calling (agent-ready)
  • Structured (JSON) outputs
  • Very long context: whole books or codebases in one prompt

Pricing

Input$0.042 / 1M tokens
Output$0.084 / 1M tokens
Cached input (read)$0.008 / 1M tokens

List prices via OpenRouter, checked daily. Real cost depends on the provider and on reasoning tokens.

How it ranks

Intelligence index24.4
Coding index52
Agentic index26.3

Source: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings).

Cost calculator

Pick a task, set how often you run it, and compare what it costs on each model.

ModelPer runPer monthPer 1,000 runs
DeepSeek: DeepSeek V4 Flash 0423$0.0002$0.201$0.201

Estimates from list prices via OpenRouter; real bills vary by provider and reasoning tokens.

Will it fit? Context window simulator

Each square is about one page (500 words). Colored squares are your content; grey squares are free space in the model's context window.

Your content

  • Novel (90,000 words)

Total: about 120,000 tokens (≈ 90,226 words). Token counts are estimates.

Models

DeepSeek: DeepSeek V4 Flash 0423

1,048,576 tokens ≈ 1,577 pages

Fits: uses 11% of the window (room for 8× this much).

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