$0 for output tokens is the number I'd circle in Google's Gemini Decisions API, announced Nov 11.
$0 for output tokens is the number I'd circle in Google's Gemini Decisions API, announced Nov 11. Plenty of teams pay chat-model prices for simple yes/no and routing calls, and pricing those calls as input-only feels like big tech squeezing the cheap end of AI spend.
- Gemini Decision 1 scores options in a single forward pass and returns probabilities and confidence scores, with 150-250ms end-to-end latency, per Google.
- Pricing is $0.10 per 1M input tokens. Shared input is billed once per request, but each extra question adds its own instruction and criteria tokens, so savings depend on how you structure the calls.
- Google says it's nearly 5x cheaper than Gemini 3.5 Flash-Lite on the Interactions API across its own shared benchmark suite. That's Google's ratio on Google's tests, and I'd want to see real workloads before trusting it.
- Access is through the Gemini API in Google AI Studio, with a no-cost prototyping tier. Google Cloud support is described as coming soon.
This fits my view that big tech wins AI by owning the plumbing, and routing and classification calls run at high volume. $GOOGL closed at $293.45 and was down 0.61% pre-market on Nov 12, so the market isn't pricing much yet. What I'm watching is whether OpenAI or Anthropic answer with a decision-only tier of their own.
Source:
Google Blog: https://blog.google/innovation-and-ai/technology/developers-tools/gemini-decisions-api/
Not financial advice. For informational and educational purposes only.
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