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 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
月之暗面发布推理模型 Kimi K3.1 Pro，在 Artificial Analysis 智能指数上得分 55，排名第四，比 Kimi K3 的 44 分提升 11 分，仅次于 Claude Opus 5.5（58）、Claude Sonnet 5.5（56）和 Muse Wonder Full（56）。
第三方评测给出 Kimi K3.1 Pro 在智能指数与智能体任务上的具体分数和排名，可与前代及闭源模型直接对照。
同一件事另外 4 家也报道了
各家口径不同：Artificial Analysis 提供了 55 分的评分并排名第四；MarkTechPost 提到了 2.8T 的总参数和 104B 激活参数的 MoE 模型。
- Artificial Analysis Articles··首发·当前阅读
Kimi K3.1 Pro 发布，智能指数 55 分位列第四
- MarkTechPost··+22 小时 53 分
Moonshot AI 发布 Kimi K3.1 Pro：2.8T 总参数、104B 激活的 MoE 模型，支持 1M 上下文
- IT之家 · AI··+23 小时 9 分
月之暗面发布 Kimi K3.1 Pro 模型，3 万亿参数、100 万上下文
新增信息：支持 100 万上下文。
- IT之家 · AI··+23 小时 50 分
- Latent Space··+31 小时 18 分
Kimi K3.1 Pro 104BA-2.8T 发布：开源权重模型缩小闭源 AI 领先优势至 1 个月
新增信息：2.8 万亿参数的开源权重模型。
- IT之家 · AI··+31 小时 59 分
- Interconnects··+2 天
按发布时间排列 · 事件后续出现时自动追加 · 由模型根据各家标题与摘要比对
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
tweet-1-intelligence-indexz.png
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.
Individual eval results:
来源: Artificial Analysis Articles · artificialanalysis.ai