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English(EN) DeepSeek V3.1 just dropped its output cost by 42% in a month. At $0.95 per 1M tokens, it’s now cheaper than many closed alternatives while staying open-weight.

DeepSeek V3.1 将输出成本降低 42%，价格低于闭源模型

作者 PulseAugur 编辑部 · [1 个来源] ·

DeepSeek 的 V3.1 模型在上个月将其输出成本显著降低了 42%，目前每百万个 token 的价格为 0.95 美元。这使得这款开源权重模型比许多专有替代品更具竞争力。该公司提供了详细的定价历史供用户跟踪这些变化。 AI

影响 此次成本降低使得先进的开源权重模型更加易于获取，有可能加速人工智能生态系统的采用和创新。

排序理由 前沿实验室模型发布，价格发生重大变化。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

在 Mastodon — fosstodon.org 阅读 →

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

DeepSeek V3.1 将输出成本降低 42%，价格低于闭源模型

本文如何被排名

Signal score
6 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
前沿实验室模型发布，价格发生重大变化。[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. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    DeepSeek V3.1 一个月内输出成本降低 42%。每百万 token 仅需 0.95 美元，在保持开源权重的同时，价格已低于许多闭源替代方案。

    DeepSeek V3.1 just dropped its output cost by 42% in a month. At $0.95 per 1M tokens, it’s now cheaper than many closed alternatives while staying open-weight. See the full pricing history. https:// olud.ai/model/deepseek-v3-1.ht ml # AI # LLM # Pricing

    链接 olud.ai/…/deepseek-v3-1.html

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