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English(EN) DeepSeek V4.1 Flash 1017 hit 77.0 on DeepSWE. The harder half was deciding when to use it

DeepSeek V4.1 Flash 1017 模型在编码基准测试中表现强劲

DeepSeek 发布了 V4.1 Flash 1017,这是一个开源模型,拥有 1M 的 token 上下文窗口和 763B 参数。这一迭代在十一个基准测试中显示出显著的改进,尤其是在编码任务中,它在 DeepSWE 上取得了 77.0 分,超过了 Opus 5 和 GPT-5.6 Sol 等模型。该模型在智能体任务和视觉能力方面也表现出色,使其成为复杂逻辑推理和跨文件代码生成的有力竞争者。 AI

影响 此次发布为编码任务和智能体能力树立了新的标杆,可能影响企业在复杂工作流程中采用先进的 AI 模型。

排序理由 Frontier-lab 模型发布,附带系统卡和基准测试结果。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

在 dev.to — LLM tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

DeepSeek V4.1 Flash 1017 模型在编码基准测试中表现强劲

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
Frontier-lab 模型发布,附带系统卡和基准测试结果。[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
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
3 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · ServBay ·

    DeepSeek V4.1 Flash 1017 在 DeepSWE 上达到 77.0。更难的部分是决定何时使用它

    <p>People in my feed keep repeating one line about DeepSeek minor updates. I had my own reason to take it seriously this time. After the Thursday outage I assumed something was coming, and on Saturday, October 17, 2026 the release landed as DeepSeek V4.1 Flash 1017. Four digits c…