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English(EN) Qwen3.7 Flash (Alibaba) opens at 1M tokens of context with open weights - $0.03 in/$0.13 out per 1M. That context-to-price ratio is what makes it worth a look.

Alibaba 的 Qwen3.7 Flash 模型以低成本提供 100 万 token 上下文

Alibaba Group 发布了 Qwen3.7 Flash,这是一个开放权重的模型,能够处理 100 万 token 的上下文。该模型提供了一个经济高效的解决方案,定价为每 100 万 token 输入 0.03 美元,每 100 万 token 输出 0.13 美元。这种有利的上下文到价格比例使其成为研究人员和开发人员的一个值得关注的选择。 AI

影响 提供了一种经济高效的解决方案来处理大型上下文窗口,有可能降低研究和开发的门槛。

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

在 Mastodon — fosstodon.org 阅读 →

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Alibaba 的 Qwen3.7 Flash 模型以低成本提供 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,带有系统卡 [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, 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
38 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. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Qwen3.7 Flash (Alibaba) 以100万token上下文窗口开放权重,每百万token输入0.03美元/输出0.13美元。这个上下文到价格的比例使其值得关注。

    Qwen3.7 Flash (Alibaba) opens at 1M tokens of context with open weights - $0.03 in/$0.13 out per 1M. That context-to-price ratio is what makes it worth a look. All tracked hourly: https:// olud.ai/latest.html # AI # LLM # OpenSource