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English(EN) DeepSeek V4.1 Flash vs V4 Flash: Beats Opus 5 on DeepSWE, 4.3x the Output Price

DeepSeek V4.1 Flash 模型价格上涨，声称在 Opus 5 基准测试中获胜

作者 PulseAugur 编辑部 · [1 个来源] ·

DeepSeek 发布了 V4.1 Flash 1017，这是其 V4 Flash 模型的一次小幅更新，据称在 DeepSWE 基准测试中优于 Anthropic 的 Opus 5。然而，新模型的价格大幅上涨，每百万输出 token 的成本是其前代产品的 4.3 倍。虽然 DeepSeek 声称该模型在完成任务方面的效率可能会抵消更高的每 token 成本，但第三方托管商提供的价格更低。模型卡显示在推理、编码和代理任务方面有所改进，Terminal-Bench 4.0 分数大幅提升。 AI

影响 为长上下文模型的成本效益设定了新基准，可能影响整个行业的定价策略。

排序理由 前沿实验室模型发布，附带系统卡和基准测试声明。[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 模型价格上涨，声称在 Opus 5 基准测试中获胜

本文如何被排名

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61 / 100
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Newsworthiness bucket
Significant
前沿实验室模型发布，附带系统卡和基准测试声明。[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
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

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) · Alan West ·

    DeepSeek V4.1 Flash 对比 V4 Flash：在 DeepSWE 上超越 Opus 5，输出价格高出 4.3 倍

    <p>DeepSeek V4.1 Flash 1017 came out on October 17, got more than 860 points on Hacker News, and is being called the cheap model that beats Opus 5 on DeepSWE. Before you move your agent loop off V4 Flash, look at the output price: $1.20 per million tokens at peak. V4 Flash 0731 c…

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