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English(EN) new Gemini 3 Deep Think, Anthropic $30B @ $380B, GPT-5.3-Codex Spark, MiniMax M2.5

新的 Gemini 3 Deep Think,Anthropic 300亿美元 @ 3800亿美元,GPT-5.3-Codex Spark,MiniMax M2.5

Google DeepMind 发布了 Gemini 3 Deep Think V2,这是 Google AI Ultra 订阅用户的新推理模式,并可通过 API 提前访问。该模型在 ARC-AGI-2 等基准测试中取得了 84.6% 的准确率,创下新的最先进水平,并在 Humanity's Last Exam 和竞赛编程方面表现出色。该模型还因其效率而受到关注,每项任务成本降低 82%,并在科学和工程工作流程中具有实际应用,包括论文错误检测和 3D 建模。 AI

排序理由 前沿实验室模型发布,附带新的基准测试结果和效率声明。

在 Smol AINews 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的 Gemini 3 Deep Think,Anthropic 300亿美元 @ 3800亿美元,GPT-5.3-Codex Spark,MiniMax M2.5

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Frontier Release
前沿实验室模型发布,附带新的基准测试结果和效率声明。
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, paper
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
238 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

  1. Smol AINews TIER_1 English(EN) ·

    全新 Gemini 3 Deep Think,Anthropic 300亿美元 @ 3800亿美元,GPT-5.3-Codex Spark,MiniMax M2.5

    **Google DeepMind** is rolling out the upgraded **Gemini 3 Deep Think V2** reasoning mode to **Google AI Ultra** subscribers and opening early access to the **Vertex AI / Gemini API** for select users. Key benchmark achievements include **ARC-AGI-2 at 84.6%**, **Humanity’s Last E…