Google DeepMind 发布 Gemini 4 Carbon,登顶多项独立排行榜
Google DeepMind 在 Argon 发布两周后推出 Gemini 4 Carbon,以 59 分登顶 Artificial Analysis Intelligence Index v5,并率先通过 Fairwind Program 向可信网络防御者开放。
Google DeepMind 在 Argon 发布两周后推出 Gemini 4 Carbon,以 59 分登顶 Artificial Analysis Intelligence Index v5,并率先通过 Fairwind Program 向可信网络防御者开放。
Google’s Gemini 4 Carbon is the new #1 on the Artificial Analysis Intelligence Index v5, and second only to Claude Opus 5.5 on the Artificial Analysis Coding Agent Index Gemini 4 Carbon scores 59 on Intelligence Index v5, driven by leading performance in complex reasoning, knowledge, and scientific tasks. It also has large gains in coding and knowledge work, particularly when compared to other Gemini models, but it is not leading in all these areas. As with launch of Gemini 4 Argon, Gemini 4 Carbon is being rolled out to selected users and is not yet publicly available. Google is offering a 50% launch discount, with no confirmed end date. All our charts and figures use standard pricing for both Gemini 4 Carbon and Argon. Key results for Gemini 4 Carbon with high reasoning: ➤ Gemini 4 Carbon leads the Intelligence Index v5, with the #1 score in 4 of the 9 Index evaluations: HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, AutomationBench-AA. Carbon makes substantial gains elsewhere but is not leading in coding and knowledge work ➤ Behind only Claude Opus 5.5 on coding agents: With Antigravity CLI, Gemini 4 Carbon (high) scores 59 only 3 points behind Claude Code with Claude Opus 5.5 (max, 62) on the Artificial Analysis Coding Agent Index. Carbon ranks second on both Terminal-Bench 4.0 (64%) and FrontierCode v1.1 (51%), behind Claude Opus 5.5 (max) at 56%. Google has historically underperformed in this area and so this improvement stands out ➤ Improved agentic knowledge work, but not yet leading: On AA-Briefcase, Gemini 4 Carbon (high) scores 1609 Elo, a 126-point improvement over Gemini 4 Argon (high, 1483), but still behind models including Grok 4.7 (xhigh, 1638), Muse Wonder (max, 1659) and Kimi K3.1 Pro (1678). The largest gain comes from Presentation, up 293 Elo to 1598, alongside a 120-point improvement in Analytical Quality to 1671 ➤ Lower Cost per Task than Claude Opus 5.5 for comparable overall intelligence: Gemini 4 Carbon costs $7.76 per Intelligence Index task, ~23% less than Claude Opus 5.5 (max, $10.04) but ~1.2x GPT-6 Astra (max, $6.25). It uses 123k output tokens per task, 29% fewer than Claude Opus 5.5 (max, 173k). At the same $4/$20 standard pricing, its Cost per Task is in line with Gemini 4 Argon ($7.68), while scoring 9 points higher on the Intelligence Index ➤ Leading AA-Omniscience v1.1 score, with low hallucination: Gemini 4 Carbon scores 54 on our recently updated AA-Omniscience v1.1, 6 points ahead of Claude Opus 5.5 (max, 48) and 8 points ahead of Gemini 4 Argon (46). Accuracy (% correct) rises 10 points over Argon to 58%, while its hallucination rate rises from 4% to 11%. This is still the second lowest of any model, behind only Argon, compared with 50% for both Claude Opus 5.5 (max) and GPT-6 Astra (max) Key model details: ➤ Context Window: 1M tokens ➤ Multimodality: Text, image, video, and speech input, with text output ➤ Pricing: $4/$20 per 1M input/output tokens, the same as Gemini 4 Argon’s standard pricing, with a 50% discount. Cached input tokens receive a 95% discount ($0.20 per 1M) Congratulations to the @GoogleDeepMind team!
谷歌正式发布新一代前沿大模型 Gemini 4 Carbon,主打网络安全与长程任务能力,在 Artificial Analysis Intelligence Index v5.0 中以综合得分 59 排名第一。
Exciting news: Gemini 4 Carbon (High) from @GoogleDeepMind just made a huge debut on Arena, landing #1 in Text Arena, #2 in Agent Arena, and #4 in Code Arena: WebDev. Back at the top, Gemini 4 Carbon delivers frontier intelligence and reshapes the Pareto frontier across three arenas. In Agent Arena, Gemini 4 Carbon ranks #2 with a +16.2% net improvement across +21.9K real-world agentic sessions from our global community, surpassing top models GPT-6 Astra and Fable-5.1. At $1.80 median cost per task, Gemini 4 Carbon (High) costs 72% less than the #1 ranked Claude Opus 5.5 (Max). Its standouts by key signals: - #1 Steerability (+18.6%): can the model course-correct when you push back? - #2 Praise vs Complaint (+37.9%): implicit sentiment in users' reactions - #3 Confirmed Success (+18.7%): explicit “yes, that worked” from users In Code Arena: WebDev, Carbon scored 1768 pts landing #4: - Just 2 pts below #3 Claude Sonnet 5.5 (xHigh), at 1770 pts - 89 pts above #11 Gemini 4 Argon (High), at 1679 pts By category, it ranks #3 in Gaming and Simulations, and #5 in Brand & Marketing. In Text Arena, Gemini 4 Carbon (High) is the new #1 with 1528 pts, now ahead of Gemini 4 Argon (High) at #2 with 1520 pts. Congrats to the @GoogleDeepMind team on this huge milestone!
Google 发布最新前沿模型 Gemini 4 Carbon,称其在编码、智能体任务和网络安全方面有显著提升,目前在 Artificial Analysis Intelligence Index (v5.0) 上排名第一,超过 Claude Opus 5.5 和 GPT-6 Astra。
Gemini 4 Carbon (High) by @GoogleDeepMind landed on the Pareto frontier in Agent Arena, Code Arena: WebDev, and Text Arena! In Agent Arena, it ranks #2 with +16.2% net improvement at $1.80 median cost per task. This is 72% less than #1 Claude Opus 5.5 (Max). Dive into the Agent Arena Pareto, and see where Gemini 4 Carbon (high) landed on the Pareto frontier for Code Arena: WebDev and Text at https://arena.ai/leaderboard/agent/pareto
Google DeepMind 在 Argon 发布两周后推出 Gemini 4 Carbon,以 59 分登顶 Artificial Analysis Intelligence Index v5.0,前代 Argon 为 50 分。
同一件事,精选收录的是《Google DeepMind 发布 Gemini 4 Carbon 前沿模型》
Google DeepMind 发布 Gemini 4 Carbon,为其迄今最强模型,主打长时程智能体编程与网络安全防御,在 Artificial Analysis Intelligence Index v5.0 以 59 分排名第一。
Google 在发布 Gemini 4 Argon 两周后宣布新一代前沿模型 Gemini 4 Carbon,称其在编码、智能体任务和网络安全方面有提升,但暂不向公众开放。
Artificial Analysis 评测显示 Google 的 Gemini 4 Carbon 以 59 分登顶 Intelligence Index v5,编码 Agent 指数 59 分仅次于 Claude Opus 5.5 的 62 分。
Google DeepMind 发布新前沿模型 Gemini 4 Carbon,在 Artificial Analysis 上超过 GPT-6 Astra 和 Claude Opus 5.5。
Gemini 4 Carbon is our next frontier model. It’s state-of-the-art across cybersecurity and long-horizon capabilities.
Artificial Analysis 评测显示,Google 的 Gemini 4 Carbon 以 59 分登上 Intelligence Index v5 第一。
我确实说过我们会定期发布我们的模型……隆重推出 Gemini 4 Carbon,我们的下一代前沿模型。 继两周前 Argon 发布之后,Carbon 展现了我们推进前沿的速度,它在最近更新的 @ArtificialAnlys 智能指数 v5.0 中排名第一,得分为 59。它还在关键网络安全评估中领先,在用于发现漏洞的 SEC-bench Pro 上得分 88.2%,在用于漏洞利用的 ExploitGym 上得分 54.8%,在用于修补的 CWE-bench 上得分 71.0%。 即使与 Argon 相比,我们也在长周期任务上看到了显著改进,并且我们加强了前沿安全保障。 正如我们对 Argon 所做的那样,我们将逐步且负责任地推出它。一些受信任的网络防御者将从本周开始获得访问权限。我们将通过我们的 Fairwind Program 将其扩展到更多合作伙伴,随后很快会更广泛地提供,所以请耐心等待!
同一件事,精选收录的是《Google DeepMind 发布 Gemini 4 Carbon 前沿模型》
Gemini 4 Carbon is our next frontier model. It’s state-of-the-art across cybersecurity and long-horizon capabilities.
⚡以闪电般的速度迭代!Gemini 4 Carbon 在关键基准上达到 SOTA,将前沿能力与深入的安全与保障研究相结合。
Google 发布新前沿模型 Gemini 4 Carbon,定位为其最强模型,主打网络安全防御和长程智能体任务。
同一件事,精选收录的是《Google DeepMind 发布 Gemini 4 Carbon 前沿模型》
Google DeepMind 发布 Gemini 4 Carbon,定位为最强前沿模型,主打网络安全与长程智能体能力,在 SEC-bench Pro 88.2%、ExploitGym 54.8%、CWE-bench 71.0% 取得领先,并以 59 分登顶 Artificial Analysis Intelligence Index v5.0。
推荐理由:官方公布 Gemini 4 Carbon 的安全编码与长程任务成绩和定价,可据此外推其在网络安全防御场景的实际定位。
推荐理由:原文给出 Gemini 4 Carbon 在多项基准的数字和分阶段开放安排,读者可以据此比较它与 Argon 及竞品的表现。
Google DeepMind 发布 Genie 4 世界模型研究预览,可从文本和图像提示实时生成可探索世界,并原生生成环境音、音乐和角色对话。架构上由 Gemini Omni 锚定世界外观,Gemini 3.8 Flash 在模拟循环内解释提示、拆解目标、校验帧并重规划。
谷歌更新评估安卓编程辅助能力的 Android Bench 榜单,新增 GPT-6 Sol、GPT-6.1 Sol、Claude Sonnet 5、Claude Sonnet 5.5 和 Gemini 4 Argon 的成绩,并标注各模型推理等级。
同一件事,精选收录的是《Google DeepMind 发布实时交互世界模型 Genie 4》
Google 发布下一代世界模型 Genie 4,相比 Genie 3 在照片级真实感、物体碰撞等物理模拟上有明显进步。用户可用 WASD 和双摇杆实时控制角色或镜头,运行中可用自然语言修改天气和加入物体,模型还能同步生成环境音与人物实时对话。
推荐理由:文章梳理了 Genie 4 相比 Genie 3 的画质、实时控制、原生音频等变化,并用视频路线与高斯泼溅路线的对比帮助读者理解世界模型走向。
谷歌 DeepMind 于 10 月 27 日发布 Genie 4 世界模型,定位为重大研究里程碑,用户可用自然语言实时改变模拟世界,如改天气、移动镜头、加入新角色,并原生生成与画面同步的音频,物理表现和人物动作也更真实。
This is Genie 4, our most realistic and interactive world model yet. 🌐 Explore dynamic environments in real time to see how the scene responds, sounds, and how the people in it move, react, and speak.
谷歌 DeepMind 于周二推出世界模型 Genie 4,处于研究预览阶段,可生成拟真度更高的可交互虚拟世界,并首次实现与画面同步的实时音频,包括音乐、环境音和可交互对话。
Google 发布 Genie 4 世界模型,用于生成 AI 交互体验,主要更新包括更真实的画面、自然语言实时修改、生成音频,并采用 Gemini 3.8 Flash 辅助模拟。
Google DeepMind 发布 Genie 4 世界模型,在 Genie 3 基础上全面改进,标题强调模拟物理更真实、人物更逼真。模型无需预渲染环境或编程交互元素,可根据用户描述实时逐帧生成可探索的虚拟世界,并借助更新的 Gemini 模型提升模拟的准确性。
Google DeepMind 于周二以研究预览形式发布世界模型 Genie 4,可生成迄今最逼真的可交互世界,支持模拟中途用提示词改变场景,并实时生成与画面匹配的音乐、环境音和对话音频。
同一件事,精选收录的是《Google DeepMind 发布实时交互世界模型 Genie 4》
Google DeepMind 发布 Genie 4,称其为迄今最逼真、交互性最强的世界模型。用户可实时探索动态环境,观察场景如何响应与发声,以及场景中人物如何移动、反应和说话。
今天我们推出 Genie 4——来自 @GoogleDeepMind 的最新交互式世界模型 🌐
Google DeepMind 发布世界模型 Genie 4,主打实时交互模拟、更强照片级真实感,并首次在实时世界模型中原生生成音频,包括环境声和可实时交互的人物对话。
推荐理由:官方完整说明了 Genie 4 的实时交互、原生音频和与 Gemini 协作机制,也坦陈当前在长时一致性和物理精度上的局限。
NVIDIA 发布开源小语言模型 Nemotron 3.5 Bolt E4B 4GB,基于 Google 的 Gemma 4 E4B 仅用强化学习做后训练、不用 SFT,面向 RTX、Jetson 和 DGX Spark 等本地硬件上的语音助手、游戏 NPC 和机器人。