introducing the Gemini Decisions API powered by Gemini Decision 1, our new multimodal decision model get fast, calibrated decisions on up to 1000 questions at once across text, images, audio, video, and PDFs try it today in AI Studio and via the Gemini API ai.studio

Nov 11, 2026 · 6:15 PM UTC

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apps using the Decisions API to try in AI Studio: Doorstep Parcels: aistudio.google.com/apps/bun… Speed Sketch: aistudio.google.com/apps/bun… Find the Zookeeper: aistudio.google.com/apps/bun…
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Nice! Love to see Google referencing JevBench xitter.twitterapi.xyz/airesearch12/status/21…
Congrats, Google! And thanks for using JevBench to evaluate your decision model - I’m the author. I’ll evaluate Gemini Decision 1 on the full JevBench ASAP, including the non-public set, and share the results.
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how does it compares to microsoft,system one?
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Shows how little the megacompanies understand what the customers want. One small Jev causes so many copycats.
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My applause to Jev. Small team, but it competes very well with the top labs.
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It can be used as a partner for JEV
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"calibrated" is the key word here knowing when the model is unsure matters more than the answer for most real workflows
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FYI, the free tier keeps your data for training.
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How commonly is this being used? I feel like most of this work can be done with normal determinstic code
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A thousand decisions at once. I've been standing in the cereal aisle since Tuesday.
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We need Gemini 4 Carbon available for Pro users.
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Google is on a roll today with the announcements
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@grok is this available via the recently announced Gemini API CLI?
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This is gonna change my workflow for 3.5 Flash-lite
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Jev only $0.68 and extremely close to SOTA?!!??
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Is it free to use?
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batch of a thousand sounds great until one bad input skews the calibration
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The video support is what tempts me here. I’d much rather ask about a scene than write a tiny novel describing it. ❤️
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▲ Google just released the Gemini Decisions API, powered by Gemini Decision 1, a model that answers typed questions instead of writing text. The key idea is scoring, not generating. You send 1 shared input (text, images, audio, video or PDFs, up to 256K tokens) plus up to 1,000 yes/no, choice or rubric questions. The model scores every option in 1 forward pass and returns calibrated probabilities with a confidence value. Output tokens are always 0. On Google's benchmark table, it leads 7 of 9 accuracy tests, including 92.2% on JevBench vs 90.9% for GPT-6 Luna on OpenAI's Decisions API. Its calibration error is 0.0250, about half of TypeSafe Jev 1.14 (0.0494). It is a trade-off though: Jev 1.14 wins When2Call (82.0% vs 79.9%) and costs less on the shared suite ($0.68 vs $0.88). Pricing is $0.10 per 1M input tokens, $0 output, with a free tier in AI Studio. Google reports 150-250 ms end-to-end latency. No context caching or Batch API yet...... Full analysis: marktechpost.com/2026/11/11/… Blog: blog.google/innovation-and-a… Docs: aistudio.google.com/docs/dec… Model: aistudio.google.com/docs/mod… @GoogleAIStudio @OfficialLoganK @Google
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$0.88 for seven evals is cheap
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你可以直接用它来替换Luna
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can we feed it dating app conversations and ask who’s getting ghosted?? 😭 asking because our team actually has a whole benchmark worth of those chats lol xitter.twitterapi.xyz/shaped/status/21205657…
What if your situationship turned out to be an AI agent!? I let 5 frontier models text real people on a dating app for 6 days. - 1,277 conversations - 510 agreed to meet - 355 sent their number - only 8 asked if it was a bot What gave them away, and why it matters🧵
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Hydrogen When?
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Sorry my lil bro but it can't beat the shiii- out of that one model from LiquidAI which have an OPEN WEIGHT VARIANT
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what's the point if there is Basal?
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WHEN WHEN WHEN?
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@grok can this be used in antigravity and how is this compared to gemini 3.8 flash and is this better than gpt 6 luna
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You still won’t leave the market for @typesafeai 😂😂😂? I love that anyway
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i made this
🤖 Made with AI
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WHERE IS MY 4 FLASH GOOGLE?
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We need Gemini 4 flash now!
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vertex ai when
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A thousand calibrated decisions at once. Can it start with the big one: what Google's going to name this chatbot next year?
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Začal jsem vytvářet výrobní schémata pro appky přes google notebook které potom poslu do google ai studio a procentuálně klesl počet chyb při prvním vytvořeni appky z 60% na 85+. Tleskám vynikající program.👍👍👍👍
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@KinasRemek, how does it compare to basal?
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