PulseAugur
中
实时 04:26:30
English(EN) Kimi K3 to K3.1 Pro: What Carries Over, What Breaks, and How to Measure the Bill

Moonshot 发布 Kimi K3.1 Pro,更新了定价和推理功能

Moonshot 发布了 Kimi K3.1 Pro,这是其 Kimi K3 模型的更新版本,调整了定价并增加了新的技术考量。新模型可通过 Kimi 应用、Kimi Code 和 API 获取,定价相比 Kimi K3 大约降低了三分之一。然而,由于模型始终开启的推理能力导致 token 使用量增加,成本节省可能会被抵消。从旧的 K2 系列模型迁移的开发者面临迁移截止日期,因为这些旧模型将被淘汰。 AI

影响 由于 Kimi K3.1 Pro 始终开启的推理能力和更新的 API 参数,开发者需要重新评估定价和代码兼容性。

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 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 →

Moonshot 发布 Kimi K3.1 Pro,更新了定价和推理功能

本文如何被排名

Signal score
50 / 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
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) · AIHubMix ·

    Kimi K3 至 K3.1 Pro:哪些功能保留,哪些功能失效,以及如何衡量成本

    <p><strong>Result first:</strong> for code that already runs on Kimi K3, moving to Kimi K3.1 Pro is a model-ID change, <code>kimi-k3</code> to <code>kimi-k3.1-pro</code>. Moonshot says the new model has "the same parameter constraints as <code>kimi-k3</code>". Moonshot lists it a…