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中文(ZH) 刚刚，DeepSeek V4 系列更新，架构没变，Agent 能力为何大涨

DeepSeek V4-Flash enhanced via post-training, gains agent API support

By PulseAugur Editorial · [1 sources] ·

DeepSeek has updated its DeepSeek-V4-Flash model, focusing on post-training enhancements rather than architectural changes or parameter scaling. This revised model, now available via API, shows improved performance on agent-specific benchmarks like Terminal Bench 2.1 and DeepSWE, though some results were achieved using proprietary tools and internal datasets. The update also introduces native support for the Responses API, streamlining integration with agent frameworks like Codex. AI

IMPACT Enhances agent capabilities through post-training, potentially accelerating development of AI agents that can perform complex, multi-step tasks.

RANK_REASON Model release from a frontier lab (DeepSeek) with updated performance metrics and new features. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on 雷峰网 (Leiphone) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

DeepSeek V4-Flash enhanced via post-training, gains agent API support

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
Model release from a frontier lab (DeepSeek) with updated performance metrics and new features. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
57 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. 雷峰网 (Leiphone) TIER_1 中文(ZH) ·

    Just now, the DeepSeek V4 series was updated. The architecture hasn't changed, so why have Agent capabilities greatly increased?

    <section style="text-align: center; margin: 0px 16px; line-height: 1.75em; display: block;"><img class="rich_pages wxw-img" src="https://static.leiphone.com/uploads/new/images/20260731/6a6c67b6a5d11.jpg?imageMogr2/quality/90" style="width: 100%; display: inline-block; text-align:…

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