Skip to content
NewA calmer, faster ZeroHour

Google launches Gemini Decision 1 calibrated decision model

Original title: [AINews] D-Day (Decision Models Day)

Latent Spaceby swyx .ai ()14 min read
Part of a story covered by 5 sourcesGoogle launches Gemini Decisions API and Decision 1Merged summary & timeline
AI summary · x-ai/grok-4.7Summaries by Vani AI

The API scores up to 1,000 closed-set questions per request at $0.10 per million input tokens, with about 200 ms latency.

Latent Space’s AINews recap says Google shipped Gemini Decision 1 and a Decisions API ahead of Anthropic, from an internal DeepMind prototype. The model accepts text, image, audio, video and PDF and returns confidence scores for yes/no, multiple-choice and rubric tasks. Independent Artificial Analysis results tie it with Elephant 9B and Jev 1.14 and trail Drex Max. The same roundup covers Claude Fable 5.2 agent rankings and mixed reports on Gemini 4 Carbon latency.

Unconfirmed: Vendor benchmarks conflict with independent scores, and Qwen-4 quality claims are unconfirmed.

Key facts
  • Output tokens are billed at $0, which Google calls about 5x cheaper than Flash-Lite.
  • Google’s tests beat Jev 1.14 on 5 of 7 benchmarks, including 92.2% versus 90.0%.
  • Artificial Analysis scores Decision 1 at 66, seven points behind Drex Max v1.1.
  • Fable 5.2 ranks first on Agent Arena, with +30.4% across 4.7K sessions.
  • Claims that newly live Qwen-4-Max is disappointing remain unconfirmed.
Explain this AI news with Vani AIWhat was announced, what is new and why it matters, in a new chat

From the original article

14 min read at latent.space

November 11, 2026 — Google enters the decision model market. At AI Engineer, Cloudflare showed which parts of a build failure a classifier could handle. TypeSafe AI showed off their production customers.

Latent Space

By swyx .ai · latent.space

Read the full article at Latent Space

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.