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English(EN) DeepSeek V4.1 Flash 1017 gives you 1M tokens context and open weights for $0.15 in/$0.6 out per 1M — a practical price for running a long-context model yourself

DeepSeek V4.1 Flash 1017 以低成本提供 100 万 token 上下文

作者 PulseAugur 编辑部 · [1 个来源] ·

DeepSeek 发布了 V4.1 Flash 1017，这是一个开源模型，能够处理一百万 token 的上下文。该模型的定价实惠，每百万 token 的输入成本为 0.15 美元，每百万 token 的输出成本为 0.60 美元。这个价格使其成为用户独立运行长上下文模型的实用选择。 AI

影响 为独立运行长上下文 LLM 提供了一个实用且经济的选择。

排序理由 Frontier-lab 模型发布，附带系统卡。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

在 Mastodon — mastodon.social 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 以低成本提供 100 万 token 上下文

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。[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, infra
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
1 days old
Coverage has settled into its steady-state source set.

完整方法见我们的编辑标准。

报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · opensourceaitech ·

    DeepSeek V4.1 Flash 1017 gives you 1M tokens context and open weights for $0.15 in/$0.6 out per 1M — a practical price for running a long-context model yourself

    DeepSeek V4.1 Flash 1017 gives you 1M tokens context and open weights for $0.15 in/$0.6 out per 1M — a practical price for running a long-context model yourself. https:// olud.ai/latest.html # AI # LLM # OpenSource

    链接 olud.ai/latest.html

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