---
title: "DeepSeek V4 Flash 0731发布：304B参数强化Agent能力，性价比突出"
source: "Simon Willison 博客（Atom）"
source_tier: "t2"
url: "https://simonwillison.net/2026/Jul/31/deepseek-v4-flash-0731/#atom-everything"
permalink: "https://feed.astralor.com/items/itm_2a97a806a43b15611e83f30b"
published: "2026-07-31T23:59:44.000Z"
score: 77
channel: "ai"
tags: ["Agent能力","DeepSeek","DeepSeek-V4-Flash-0731","OpenRouter","大语言模型"]
---

# DeepSeek V4 Flash 0731发布：304B参数强化Agent能力，性价比突出

## AI 点评

> 这个模型的亮点不在堆参数，而在于用304B就打赢了更大的对手，价格还压到这么低。对开发者来说，真正值得关注的是性价比拐点：以后做Agent应用，可能不需要再迷信超大模型。我特别留意到Simon提到的reasoning effort影响，这说明评测榜单和真实使用之间还有一道参数调优的门槛，别拿默认值直接下结论。

## 速览

DeepSeek发布V4系列最新版本DeepSeek-V4-Flash-0731，参数量304B，Hugging Face权重167GB，官方称Agent能力大幅增强。Artificial Analysis评测显示其综合表现超过428B的MiniMax M3，定价仅0.14美元/百万输入tokens、0.27美元/百万输出tokens，当前性价比极高。Simon Willison实测默认推理级别效果一般，调高reasoning effort后输出质量提升明显。

## 关键点

- DeepSeek-V4-Flash-0731为304B参数模型，Hugging Face权重167GB，官方强调Agent能力显著增强。
- Artificial Analysis将其排在428B参数的MiniMax M3之前，显示小模型表现超出预期。
- API定价0.14美元/百万输入tokens、0.27美元/百万输出tokens，被视为当前性价比极高之选。
- Simon Willison实测发现默认推理级别效果欠佳，需调高reasoning effort以获得更佳输出。

## 全文

deepseek-ai/DeepSeek-V4-Flash-0731 The latest release in DeepSeek's V4 family, "with substantially enhanced agentic capabilities". It's 304 billion parameters - 167GB on Hugging Face - but it appears to punch well above its weight. Artificial Analysis rank it ahead of MiniMax M3 - a 428B model. It's $0.14/million input and $0.27/million output pricing means this may currently be the best value-per-intelligence model out there. It's looking very good on the Intelligence Index vs. Cost per Intelligence Index Task chart: I got a disappointing pelican from it using the default reasoning level via OpenRouter: But when I bumped reasoning level up to high I got something much better: llm -m openrouter/deepseek/deepseek-v4-flash-0731 -t pelican -o reasoning_effort high Via Hacker News Tags: ai, generative-ai, llms, pelican-riding-a-bicycle, deepseek, llm-release, openrouter, ai-in-china, artificial-analysis

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引用前请核对原文;本文由星际流动整理:https://feed.astralor.com/items/itm_2a97a806a43b15611e83f30b