Moonshot AI released Kimi K3.1 Pro, reducing cyberattack capabilities
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月之暗面10月24日发布新模型Kimi K3.1 Pro,为3万亿参数级、支持100万token上下文,即日在网页版、App和API等上线,完整权重计划11月4日前开放下载,报道称其仍为全球参数规模最大的开源模型。据Artificial Analysis智能指数,模型得55分、列第四、居开源模型之首,较K3提升11分。月之暗面称开发中发现网络攻击与漏洞研究内容进入中期训练语料和强化学习环境,遂从两阶段剔除相关数据、保留通用编码能力,目标是开放权重不扩展网络能力绝对前沿;内部基准上发布版得81.0%,未做削减的类似版本为90.5%,结果未经独立验证。另有X用户发截图称Kimi要求博主提交草稿审核,未经独立证实。10月28日Artificial Analysis发布第5版智能指数,首次将60%权重置于私有测试集以防刷榜,K3.1 Pro从第四跌至第九,开源模型与榜首分差从3分扩大到12分。
Generated by AI from reports · Updated 1 days ago
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- WebGeekNews (Korea)· Media coverageAAII v5 공개 - 비공개 평가 비중을 60%로 높인 AI 모델 역량 지수(opens the original post in a new tab)
- The DecoderArtificial Analysis's new edition of the index widens the gap between open-source and closed-source models
Artificial Analysis launched the 5th edition of the Intelligence Index; Kimi K3.1 Pro fell from 4th place to 9th place, ranking behind eight closed-source models, and the gap between open-source models and the top of the list widened from 3 points to 12 points. The new edition of the index, for the first time, bases 60% of the weight on a private test set to prevent models from gaming the leaderboard (benchmaxxing) against public test questions; Grok 4.7's score also dropped by 12 points. AI researcher Nathan Lambert believes that leaderboard gaming is only part of the reason: much of today's training gains come from reinforcement learning environments similar to benchmark tasks, and staying ahead across multiple domains at the same time requires complex RL infrastructure, which not every lab has. The disadvantage of private test sets is that outsiders cannot check for errors in the prompts; the AA-Omniscience knowledge test has such problems, and Artificial Analysis revised its ambiguous and flawed questions for the new edition of the index.
- RedditReddit r/LocalLLaMA· DiscussionArtificial Analysis Intelligence Index v5 (major update)(opens the original post in a new tab)
- RedditReddit r/singularity· DiscussionArtificial Analysis Intelligence Index v5 released(opens the original post in a new tab)
- WebSouth China Morning Post · Tech· Media coverageMoonshot apologises after Kimi K3.1 Pro roll-out stumbles as promotional scrutiny widens(opens the original post in a new tab)
- WebAI Threat Watch (aithreat.io)· Media coverageLa china Moonshot dice que ha limitado capacidades de ciberataque de su nuevo modelo de IA(opens the original post in a new tab)
- TechTimesKimi K3.1 Pro ranks fourth among 215 AI models; Moonshot AI removed cyberattack training data before the open-weights release
Moonshot AI released Kimi K3.1 Pro on October 23; it ranks fourth among 215 models on the Artificial Analysis Intelligence Index, and before the open-weights release the company proactively removed cyberattack training data. The model scored 81.0% on its in-house cybersecurity evaluation xdev-bench-hard, while an ablation checkpoint without the data removal scored 90.5%; the company says this makes its offensive cyber capability lower than that of frontier proprietary models that have been public for at least three months. The weights are scheduled to be available for download on November 4; routine fine-tuning can in principle partially restore the suppressed capability, and the durability of this reduction remains to be independently tested.
- WebAI Threat Watch (aithreat.io)· Media coverageKimi K3.1 Pro prêt à être lancé, Moonshot réduit les capacités d'attaque cybernétique(opens the original post in a new tab)
- WebAI Threat Watch (aithreat.io)· Media coverageKimi K3.1 Pro to be released soon, Moonshot reduces cyberattack capabilities(opens the original post in a new tab)
- FirstpostAs cyber threats rise, Moonshot AI limits the hacking capabilities of its latest model Kimi K3.1 Pro
月之暗面(Moonshot AI)在计划 11 月 4 日开放权重的最新模型 Kimi K3.1 Pro 发布前,刻意削弱其识别和利用软件漏洞的攻击性网络能力。该模型属三万亿参数级别,具备 100 万 token 上下文窗口。月之暗面称,从训练数据集和强化学习环境中移除网络攻击相关材料后,K3.1 Pro 在公司内部网络安全基准上得分为 81.0%,未做风险削减的可比版本为 90.5%,修改后模型仍超过前代;这些为公司自报结果,未经独立验证。报道还提到,中国上周提出涵盖 AI 恶意软件生成与变异、AI 辅助漏洞发现的出口管制草案,正公开征求意见。
- FirstpostAmid rising cyber threats, Moonshot AI limits the cyberattack capabilities of its latest model Kimi K3.1 Pro
Moonshot AI 在计划于 11 月 4 日开放权重发布前,主动削减了新模型 Kimi K3.1 Pro 的网络攻击能力。该公司称,做法是从训练数据集和强化学习环境中移除网络攻击相关材料;在 Moonshot 的内部网络安全基准上,该模型得分为 81.0%,未做风险削减的可比版本为 90.5%,公司称修改后仍超过前代,但这些数字未经独立验证。该模型属 3 万亿参数级别,上下文窗口为 100 万 token。报道还提到,中国上周就 AI 驱动的恶意软件生成与变异、AI 辅助漏洞发现提出出口管制草案,正公开征求意见;开放权重扩散后,原开发商对模型部署和修改方式的影响力会大幅减弱。
- WebAI Threat Watch (aithreat.io)· Media coverageMoonshot Reduce Las Capacidades De Ciberataque De Kimi K3.1(opens the original post in a new tab)
- WebNathan Lambert· Media coveragePodcast: Kimi K3.1 Pro, the new cyber reality, and Muse musings(opens the original post in a new tab)
- WebAI Threat Watch (aithreat.io)· Media coverageКитай усиливает возможности кибератак своей новой модели Kimi.(opens the original post in a new tab)
- RedditReddit r/LocalLLaMA· DiscussionKimi K3.1 Pro Tech Blog: Advancing Open Intelligence(opens the original post in a new tab)
- XiaohongshuXiaohongshu · AI Pioneer· DiscussionThree minutes to see a week of AI industry news changes (10/19–10/25(opens the original post in a new tab)
- X@nibnnnn· DiscussionIn Chinese, as written第一次见AI公司主动给自己的模型降智,Kimi这波操作有点意思。 月之暗面新模型K3.1 Pro还没正式开放权重,就先把部分网络攻击能力削弱了。按官方测试数据,相关指标从90.5%降到了81.0%。 原因也很现实,模型一旦开源,谁都能…(opens the original post in a new tab)
- WebAI Era (Xinzhiyuan)· Media coverageJust now, Kimi K3.1 Pro broke into the global top four, Agent first!(opens the original post in a new tab)
- X@diguapet· DiscussionIn Chinese, as written10月24日,Kimi携其迄今最强3万亿参数级模型Kimi K3.1 Pro,杀回来了。 全新K3.1系列首发就是Pro,在多个场景表现上K3.1 Pro甚至直逼GPT-6 Astra,直接杀进全球前沿模型第一梯队。 在Artific…(opens the original post in a new tab)
- VentureBeatMoonshot Kimi K3.1 Pro is poised to top the open-weight model rankings, while also being embroiled in allegations of a paid-influencer scandal
Moonshot 发布 3 万亿参数模型 Kimi K3.1 Pro,计划 11 月 4 日开放权重,评测显示其几乎肯定将成为全球最强开放权重模型。该模型在 Artificial Analysis Intelligence Index 从 44 升至 55,超越 GPT-6 Astra 等模型;API 每百万 token 输入 2 美元、输出 10 美元,约为 Claude Opus 5.5 的一半。与此同时,Kimi K3.1 Pro 身陷 X 平台付费网红丑闻指控。
- The Indian ExpressMoonshot AI limits new Kimi model's hacking capabilities as AI cyberattack concerns grow
Moonshot AI reduced the cyberattack capabilities of its open-weight new model Kimi K3.1 Pro when releasing it, and plans to make the weights public by November 4. The company removed cyberattack-related data from its training corpus and reinforcement learning environment while retaining general programming capabilities. The company says K3.1 Pro scored 81.0% on an internal cyber benchmark, lower than the 90.5% of the unreduced version, but still better than the previous generation; the results have not been independently verified.
- The420.inMoonshot proactively reduces Kimi K3.1 Pro's cyberattack capabilities before open-weight release
Before the open-weight release of Kimi K3.1 Pro, Moonshot AI removed cyberattack-related data from its training corpus and reinforcement learning environment to reduce the model's cyberattack capabilities while trying to preserve its software development capabilities as much as possible; the model weights are scheduled for release on November 4. Moonshot said that on an internal benchmark testing a model's ability to identify and exploit software vulnerabilities, the released version of K3.1 Pro scored 81%, compared with 90.5% for a similar version without the reduction measures, a decrease of 9.5 percentage points; these results come from Moonshot itself and have not been independently verified. The company said K3.1 Pro still performs better than the previous generation model on cyber tasks, and that this is capability limitation rather than elimination. The model also has a 1 million token context window, and the released Highspeed version is said to run 2 to 3 times faster than the standard version.
- PekingnologyKimi's global moment, and a PR controversy with distinctly Chinese characteristics
Moonshot AI released Kimi K3.1 Pro, which ranked fourth on the Artificial Analysis Intelligence Index on October 23, behind only three US models. X user Elshayib posted screenshots claiming that Kimi asked bloggers to submit drafts for review and not to use paid partnership labels, with talking points including describing Kimi as an open-source equivalent priced at only one-fifth of Claude Opus 5.5. The documents have not been independently verified, and the related allegations have circulated in Chinese- and English-language AI communities.
- Sina TechMoonshot AI releases Kimi K3.1 Pro: cyberattack data stripped out, coding still surpasses GPT-6
月之暗面发布Kimi K3.1 Pro,被业界视为中国最强开源模型;训练阶段剥离网络攻击数据,编程仍反超GPT-6。参数达3万亿级,Terminal-Bench 4.0得分65.7%,高于GPT-6 Astra的58.2%。内部网络安全基准得分81.0%,未做风险削减的版本为90.5%;完整权重计划11月4日前开放。
- mintTitle: Moonshot AI releases Kimi K3.1 Pro: stronger coding, lower cyberattack risk
摘要:Moonshot AI 于10月24日发布 Kimi K3.1 Pro,这是该公司自 K3 于2026年7月引发全球关注以来首次重大模型升级。公司称 Kimi K3.1 Pro 为 3 万亿参数的开源权重模型,主打编码、金融研究和 3D 建模(含游戏开发)能力,具备 100 万 token 上下文窗口;模型权重定于11月4日开放,开发者可自行运行和修改。为限制模型在网络攻击方面的应用,公司称已从训练数据和强化学习环境中剔除网络攻击相关数据:该模型在公司自测的网络安全指标上得分为 81%,低于未做风险削减的类似版本的 90.5%(测试内容为在受控环境下发现并利用软件漏洞,结果并非独立测试)。Moonshot 还发布了声称速度快 2-3 倍的 Kimi K3.1 Pro Highspeed。此次发布正值中国 AI 公司竞争加剧、先进模型的网络安全担忧引发更多审查之际。
- The News InternationalAs concerns about AI cyberattacks grow, Moonshot AI limits the hacking capabilities of its open-weight model Kimi K3.1 Pro
Moonshot AI filtered and removed cybersecurity-related training data from its open-weight model Kimi K3.1 Pro, intentionally limiting its offensive hacking capabilities. The company said that during development it found that cyber content and vulnerability research tasks had naturally entered its mid-training corpus and reinforcement learning environments, so it removed these materials from both stages while retaining general coding capabilities. According to its internal benchmarks, a test version without these risk-reduction measures scored 90.5% on finding and exploiting software vulnerabilities in a controlled environment, while the publicly released Kimi K3.1 Pro dropped to 81.0%. The article notes that once an open-weight model is downloaded, third parties could in theory modify or completely remove downstream safety filters, so Moonshot chose to address the risk at the base training level, and said its goal is not to release open-weight models at the absolute frontier of extended cyberattack capabilities.
- WeChat · AI Era (Xinzhiyuan)Kimi K3.1 Pro released: intelligence index fourth globally, Terminal-Bench 4.0 less than 1% behind Opus 5.5
Moonshot AI released Kimi K3.1 Pro, with an Artificial Analysis Intelligence Index score of 55, ranking fourth globally, up 11 points from the previous generation. The model supports a 1 million context, Terminal-Bench 4.0 rose from 13% to 65.7%, less than 1% behind Opus 5.5. The price is about one-fifth of GPT-6 Astra.
- WeChat · QbitAIKimi K3.1 Pro hands-on test: connects to Godot and Blender, autonomously completes 23 rounds of testing
Kimi K3.1 Pro 的一手实测显示,它可自主调用 Godot、Blender 等工具,在 Godot 项目中自行完成 23 轮测试并交付可玩 3D 游戏。该 3 万亿参数级模型支持百万 Token 上下文,在 Artificial Analysis 智能指数拿 55 分、全球前四;Terminal-Bench 4.0 得分 65.7%,BenchCAD 为 92.7%。Kimi 同步上线 3D Make 和 K3.1 Pro Highspeed,完整权重将在两周内放出。
- The Economic TimesAs concerns over AI-driven cyberattacks grow, Moonshot limits hacking capabilities in its new model Kimi K3.1 Pro
Moonshot AI 宣布在新模型 Kimi K3.1 Pro 中削减网络攻击能力,并计划于 11 月 4 日前发布这一 3 万亿参数级开放权重模型的权重文件。公司称已从训练语料和强化学习环境中移除网络攻击相关数据、保留通用编码能力,目标是发布的开放权重不会扩展网络能力的绝对前沿。其内部网络基准测试中,K3.1 Pro 得分 81.0%,未采取风险削减措施的类似版本为 90.5%,结果未经独立验证;公司称数据过滤降低了模型的攻击性网络表现,但仍优于前代。中国上周还提出出口管制草案,拟禁止出口 AI 恶意软件生成与变异技术、限制 AI 辅助漏洞发现工具。Moonshot 称开放权重可帮助更多组织检查加固自身软件,但权重广泛分发后,原开发方限制访问和更新护栏的能力弱于闭源托管服务。
- The Straits TimesAs concerns about AI-driven cyberattacks grow, Moonshot AI limits hacking capabilities in its new model Kimi K3.1 Pro
月之暗面(Moonshot AI)10 月 24 日称,已在新模型 Kimi K3.1 Pro 中削减网络进攻能力,并计划 11 月 4 日前公开模型权重。公司称这是其最强的三万亿参数级开放权重模型,已从训练语料和强化学习环境中移除网络攻击相关数据、保留通用编码能力,目标是不发布会扩展网络能力绝对前沿的开放权重。在测量受控环境中发现并利用软件漏洞的内部基准上,K3.1 Pro 得分 81.0%,未采取风险削减措施的类似版本为 90.5%;公司称过滤网络数据降低了进攻性网络表现,该模型仍优于前代,结果未经独立验证。中国上周还提出出口管制草案,拟禁止出口 AI 驱动的恶意软件生成与变异技术、限制 AI 辅助漏洞发现工具,草案正公开征求意见。
- The PaperMoonshot releases Kimi K3.1 Pro, remaining the open-source model with the largest parameter scale globally
Moonshot released its new-generation open-source model Kimi K3.1 Pro on October 24, with a parameter scale of 3 trillion, support for a 1 million token context window, remaining the open-source model with the largest parameter scale globally, with full model weights to be released before November 4. Reports say its overall intelligence level is already close to the world's leading closed-source models, at only one-fifth the price of GPT 6 Astra; according to the Artificial Analysis leaderboard, Kimi K3 Pro ranks 4th on the intelligence index, first among global open-source models. According to the introduction, the model substantially increased compute investment in the reinforcement learning stage, has stronger professional tool-calling capabilities, improved capabilities in coding, 3D creation, financial research and long-horizon Agent tasks, and achieved the world's best results on two evaluations, Office QA Pro v2 and SpreadsheetBench v2, surpassing closed-source models such as Opus 5.5, Fable 5.1 and GPT 6 Astra.
- WeChat · Synced (Jiqizhixin)SelectedKimi K3.1 Pro: Moonshot AI serves up its first Pro
Moonshot AI officially released Kimi K3.1 Pro, with a parameter count on the order of 3 trillion, support for a 1 million token context, and confirmed its identity as Kibitz, the previously anonymous model in Arena blind testing. The model launched the same day on Kimi web, App, Kimi Work, Kimi Code and the API, and full weights will be released by November 4. According to the official blog, the model underwent large-scale reinforcement learning post-training on the K3 base, scoring 55 on the Artificial Analysis Intelligence Index, an 11-point improvement over K3 and fourth place globally; Artificial Analysis said that after the weights are released it will become the highest-scoring open-weight model. Official benchmark tables show a Terminal-Bench 4.0 score of 65.7%, higher than GPT-6 Astra's 58.2% and 0.7 percentage points below Claude Opus 5.5's 66.4%; agent capabilities and front-end 3D creation are the focus of this upgrade.
- Moonshot AIKimi K3.1 Pro technical blog: Advancing open intelligence
Moonshot AI releases the 3T-class open-weight model Kimi K3.1 Pro, supporting a 1 million token context window. It scores 65.7% on Terminal-Bench 4.0, surpassing GPT-6 Astra (58.2%) and slightly below Claude Opus 5.5 (66.4%). A Highspeed version that is 2-3 times faster is released at the same time, with full weights to be released before November 4.
- The DecoderMoonshot's Kimi K3.1 Pro approaches Claude Opus 5.5 on the Artificial Analysis Intelligence Index
Moonshot released Kimi K3.1 Pro, which scores 55 on the Artificial Analysis Intelligence Index, rising to fourth place, only 3 points below the top-ranked Claude Opus 5.5 (58 points). The model improves by 11 points over Kimi K3, with the largest gain on agentic tasks, reaching 1,846 Elo on GDPval-AA. Moonshot says the hallucination rate on Kimi Hallu Bench Hard dropped from 23.4% to 8.3%, and it plans to open the weights on November 4, 2026; the open version's training has had cyberattack data removed, and its solve rate on xdev-bench-hard dropped from 90.5% to 81.0%.
Related discussion
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1 likes·Oct 29 20:33Collect
- WeChatDoonsecMoonshot AI's latest model weakens cyberattack capabilities; AI penetration and localization are the future(opens the original post in a new tab)
- WeChatDoonsecKimi K3.1 removes attack capabilities, and DeepSeek will follow suit! Netizens: the genius hacker has fallen(opens the original post in a new tab)
- RedditReddit r/artificialNew AA intelligence index v5 with “Private tests” conveniently upranks GPT, Google’s models, while open weights chinese models downrank(opens the original post in a new tab)
- WebGeekNews (Korea)AAII v5 공개 - 비공개 평가 비중을 60%로 높인 AI 모델 역량 지수(opens the original post in a new tab)
- WebIThome (China)Artificial Analysis Intelligence Index v5 benchmark launched; DeepSeek V4.1 Flash 1017 achieves the highest score among open-source models on FrontierCode 2.0(opens the original post in a new tab)
- XX @natolambertOpen models' demise has been greatly exaggerated, but the previous AA index did flatter them. As an industry we need more specific intell...(opens the original post in a new tab)
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- XX @deanwballThis is the first time an Artificial Analysis ranking has even roughly approximated my own subjective rankings of models.(opens the original post in a new tab)
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