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English(EN) kimi k3.1 pro just went #4 on artificial analysis 55 vs opus 5.5 at 58 $2 / $10 per 1M tokens vs $4 / $20 weights out by nov 4 and moonshot stripped hacking dat

Moonshot 的 Kimi K3.1 Pro 在基准测试中排名靠前,价格低于 Opus 5.5

Moonshot 的 Kimi K3.1 Pro 模型在 Artificial Analysis 基准测试中取得了顶级排名,超越了 Anthropic 的 Opus 5.5。新模型的定价为每 100 万 token 2 美元/10 美元,远低于 Opus 5.5 的每 100 万 token 4 美元/20 美元。Kimi K3.1 Pro 的测试版本在网络安全测试中得分 90.5%,正式发布版本得分 81.0%。 AI

影响 为高性能大语言模型设定了新的竞争性价格点,可能降低用户成本。

排序理由 前沿实验室发布新模型,包含基准测试结果和定价信息。[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 →

Moonshot 的 Kimi K3.1 Pro 在基准测试中排名靠前,价格低于 Opus 5.5

本文如何被排名

Signal score
15 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
前沿实验室发布新模型,包含基准测试结果和定价信息。[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 — mastodon.social TIER_1 English(EN) · mohith808 ·

    kimi k3.1 pro just went #4 on artificial analysis 55 vs opus 5.5 at 58 $2 / $10 per 1M tokens vs $4 / $20 weights out by nov 4 and moonshot stripped hacking dat

    kimi k3.1 pro just went #4 on artificial analysis 55 vs opus 5.5 at 58 $2 / $10 per 1M tokens vs $4 / $20 weights out by nov 4 and moonshot stripped hacking data from training on purpose. a test build scored 90.5% on its cyber test, the release 81.0% https://www. kimi.ai/blog/kim…