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English(EN) Kimi K3 API: 2.8T Parameters at 1/3 the Cost of GPT-5

Moonshot AI 的 Kimi K3 提供 100 万上下文,成本为 GPT-5.6 的 1/3

Moonshot AI 发布了其 Kimi K3,这是一个拥有 2.8 万亿参数的混合专家模型,提供 100 万 token 的上下文窗口,成本远低于 GPT-5.6 Sol 和 Claude Fable-5 等竞争对手。该模型在前端编码任务中表现出色,位居全球第一,并在通用推理和智能体评估中展现出强大的性能。其极具竞争力的定价,特别是对于缓存输入,使其成为 AI 驱动的编码助手和智能体工作负载的诱人选择。 AI

影响 在前端编码基准测试中设定了新的 SOTA,并大幅降低了智能体工作负载的成本。

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 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 AI 的 Kimi K3 提供 100 万上下文,成本为 GPT-5.6 的 1/3

本文如何被排名

Signal score
33 / 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, 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) · YingSuan AI ·

    Kimi K3 API:2.8T参数,成本仅为GPT-5的三分之一

    <h1> Kimi K3 API: 2.8T Parameters at 1/3 the Cost of GPT-5 </h1> <p>Moonshot AI's Kimi K3 landed in July 2026, and it's the first model this year that made me re-run my cost-per-task benchmarks. A 2.8T-parameter Mixture-of-Experts model with a 1M-token context window, priced at r…