DeepSeekDeepSeek·💬 Text Generation·New

DeepSeek V4 Flash 0731 Fast

ReasoningCodeFunction CallingWeb Searchprivate
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Quick reference
DeepSeek V4 Flash 0731 Fast — TLDR
  • 🧩 284B-parameter MoE, only 13B active per token
  • 📏 Massive 1M-token context window
  • ⚡ Throughput-tuned serving profile for low-latency workloads
  • 📜 MIT licensed and openly downloadable
  • 🔧 Function calling and web search supported
  • 🎯 Strong reasoning plus code-optimized performance
💰 Pricing
$0.350 / $0.700
per 1M · input / output
📏 Context
1M tokens
📅 On Venice since
Aug 9, 2026
8 days ago
Provider

DeepSeek is a Chinese artificial intelligence company specializing in large language model development, founded in July 2023 by Liang Wenfeng. Based in Hangzhou, Zhejiang, the company is backed by High-Flyer, a prominent Chinese hedge fund also co-founded by…

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7 models on Venice
7 text
Since Dec 4, 2025

About this model

DeepSeek V4 Flash 0731 Fast is the speed-tuned serving variant of DeepSeek's efficiency-oriented Flash line, pairing a 284B-parameter Mixture-of-Experts architecture with just 13B active parameters per token. That sparsity is what makes the "Fast" positioning viable: the model keeps a 1M-token context window and MIT licensing while targeting high-throughput, latency-sensitive deployment rather than maximum raw capability.

Within DeepSeek's lineup, the Flash tier sits below the heavier reasoning-focused DeepSeek V4 Pro, and this build is the accelerated counterpart to the standard V4 Flash 0731 checkpoint released at the end of July 2026, with this variant arriving in August 2026. Earlier points in the family include V4 Flash 0423 and the V3.2 generation, and there is also an end-to-end-encrypted DeepSeek V4 Flash option.

Capabilities cover reasoning, code generation, function calling, and web search, so it works well as a general-purpose agentic backend. It suits long-document analysis, repository-scale coding assistance, and high-volume pipelines where response speed and cost-efficient inference matter more than squeezing out the last few points of benchmark accuracy.

This About section is AI-generated from public sources (Claude Opus 5), with no human editing. It may contain inaccuracies — verify critical details against the sources listed above.

Research & Papers

Primary reference paper for this model family, sourced from the HuggingFace model card.

Data sources: Venice API · HuggingFace · Wikipedia · arXiv — enrichment updated 8h ago