Summary
According to a post on X by @sundarpichai, Google has launched Gemini Decision 1 and the Gemini Decisions API, a model built to score choices rather than write text. It returns calibrated yes/no answers, multiple-choice answers with up to 255 options, or rubric answers, and can score up to 1,000 questions at once across text, images, audio, video and PDFs. It is priced at $0.10 per million input tokens with no output charge, and Artificial Analysis scores it 66 on its Decision Index. Developers say it can replace full LLM calls for routing and classification inside agents.
AI-assisted summary based on the listed source.
What happened
The model returns calibrated yes/no, multiple-choice (up to 255 options) or rubric answers, scoring up to 1,000 questions at once across text, images, audio, video and PDFs, at $0.10 per million input tokens with no output charge. Artificial Analysis scores it 66 on its Decision Index, and developers say it can...
Why it matters
Developers building AI agents may be able to use a cheaper model for routing and classification steps instead of full LLM calls, according to developers quoted in the post. Teams that run large volumes of checks across mixed media would need to compare the per-token pricing and the 1,000-question batch limit against their own workloads. Watch for independent benchmarks beyond the Decision Index score and for real-world cost results.
Signal Intelligence
Signal Strength 88%
Technical label WATCH
Public Interest 44
Category CREATOR TOOLS
Reader Depth TECHNICAL
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
Public Interest components
Recognizable Entity Score 0
Practical Impact Score 56
Novelty Interest Score 94
Consequence Score 46
Curiosity Score 32
Shareability Score 35
Why this is here
VQV surfaced this signal because it is recent, relevant to AI Chips, connected to Scobleizer News Pulse (X).
