Google 发布 Gemini 4 Carbon,主打长程任务与多步推理
Google 一个月内连发两个模型,这次 Carbon 主打长程任务和多步推理。有人用它在一个 HTML 文件里纯代码生成了整段视频,不用任何剪辑工具。如果你在做智能体或者多步自动化,这个能力点值得关注。
Google 官方宣布 Gemini 4 Carbon 现已可用,定位为其最强模型,重点提升深度推理、长程任务处理与多步推理能力。官方表述是:如果 Argon 适合复杂任务,Carbon 则用于攻克最困难的问题。Argon 发布至今不到一个月,Carbon 紧随其后推出,Google 的模型迭代节奏明显加快。
从实际体验看,博主 Paul(itsPaulAi)提前试用数天,展示的例子中,Carbon 在单个 HTML 文件里用代码完整生成了一段视频,全程没有借助外部工具或剪辑流程。这说明该模型在代码生成与多步任务串联上有较强的一致性,能在一整个文件内维持长链路逻辑不崩。
对开发者而言,长程任务和多步推理正是智能体工作流最依赖的能力,Carbon 与 Argon 的分层定位(常规复杂任务 vs 最难问题)给了使用者明确的选型参考。与 OpenAI、Anthropic 的高端模型相比,Google 这次强调的是任务纵深而非单点跑分。
Google has just released Gemini 4 Carbon This model produced the video below 100% using code... in a single HTML file. I've had the chance to use it for the past few days. And its capabilities are REALLY impressive. Keep in mind that Argon was launched less than a month ago! Feel the RSI. Thanks to Google for the early access!
This report is categorized under AITOP's "Models" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to US-China foundation model benchmarks and commercialization comparison and AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Gemini 4 Carbon, Google, 推理模型, 智能体.
Source attribution: curated from Paul Couvert (@itsPaulAi).