模型81°

Kimi K3.1 Pro 登上 Artificial Analysis 智能指数第 4 名,开源权重发布后将成为最强开放模型

精选理由

Kimi K3.1 Pro 智能指数拿 55 分排第 4,智能体任务比上代强一大截,价格还降了 33%,权重也快开源了。

Moonshot 的 Kimi K3.1 Pro 在 Artificial Analysis 智能指数得 55 分,比 Kimi K3 的 44 分高 11 分,仅次于 Claude Opus 5.5(58)、Claude Sonnet 5.5(56)和 Muse Wonder Full(56)。智能体能力提升明显:GDPval-AA 达 1846 Elo,比上代高 312 Elo;Terminal-Bench 4.0 得 67%,超过 Claude Sonnet 5.5 的 64%。模型为 2.8T 总参数、104B 激活参数,支持 1M token 上下文和图文输入。定价为每百万 token 输入 $2、输出 $10,缓存命中 $0.20,三项均比 Kimi K3 低 33%。权重尚未发布,但官方表示很快开源,届时开放权重与闭源模型的指数差距将从 12 分缩小到 3 分。

原文 · Artificial Analysis

Kimi K3.1 Pro launches at 4th on the Artificial Analysis Intelligence Index scoring 55, making large gains in agentic performance; it will be the leading open-weights model once its weights are published

@Kimi_Moonshot's new reasoning model gains 11 points over Kimi K3 (max, 44). It trails only Claude Opus 5.5 (max with fallback, 58), Claude Sonnet 5.5 (max with fallback, 56), and Muse Wonder Full (max, 56) on the Intelligence Index.

Once the weights for K3.1 Pro are released it will be the highest-scoring open weights model and the gap between the leading open weights and proprietary models on the Intelligence Index will narrow from 12 points to 3.

Key results: ➤ Large gains in agentic performance: Kimi K3.1 Pro scores 3rd on GDPval-AA with 1,846 Elo, up 312 Elo from Kimi K3, behind only Claude Opus 5.5 (1,866 Elo) and Muse Wonder Full (1,857 Elo). Kimi K3.1 Pro also achieves the highest score of any model on Terminal-Bench 4.0. K3.1 Pro scores 67%, up from 13% for Kimi K3 and ahead of Claude Sonnet 5.5 (64%). AutomationBench-AA, which tests agentic SaaS workflows, rises from 58% to 73%.

➤ Gains in other evals are more moderate: Humanity's Last Exam rises from 47% to 52%, CritPt from 23% to 25%, and SciCode from 59% to 61%. AA-Omniscience Index rises from 20 to 30, as the hallucination rate falls from 53% to 44% and accuracy rises from 48% to 51%.

➤ Cost per Task roughly equal to Kimi K3 at $1.98 per Task: K3.1 Pro uses 55K output tokens per Intelligence Index task, 14% more than Kimi K3 at 48K, while its first-party token prices are 33% lower.

Additional model details: ➤ Context window: 1M tokens. ➤ Size: 2.8T total, 104B active parameters ➤ Input modalities: Text and image ➤ Weights and license: Weights currently not published, Moonshot is expected to release the weights soon after launch ➤ Pricing: $2/$10/$0.20 per 1M input/output/cache hit tokens, 33% lower than Kimi K3 on all three rates.

Congratulations to the team at @Kimi_Moonshot on the release!