Compare / Models

Decider 27B vs Gemini Decision 1

Price, context window and capabilities side by side, read from the same catalog that meters your calls, not from a press release.

Decider 27B is 2.5x cheaper on input.

At a glance

Side by side

Decider 27B

Perplexity

Perplexity's decision model: typed answers with probabilities, text or image state, $0.04 per million input tokens and free output.

Input$0.04/M
Output$0/M

Google

Google's decision model: typed answers with calibrated probabilities over text, images, audio, video and PDFs, $0.10 per million input tokens and free output.

Input$0.1/M
Output$0/M

Specifications

Every difference we can measure

 Decider 27BGemini Decision 1
Input price$0.04/M$0.1/M
Output price$0/M$0/M
VisionYesYes

A row appears only when we hold the fact for both models. Anything the provider has not published is left out rather than guessed, so an empty row is missing data and never a zero.

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FAQ

Frequently asked questions

What is the difference between Decider 27B and Gemini Decision 1?

Decider 27B is 2.5x cheaper on input. Both run on the same endpoint and the same key here, so trying each is a one-line change to the model id.

Which is cheaper, Decider 27B or Gemini Decision 1?

Decider 27B is, on input tokens. Output usually dominates the bill on generative work, so check the output row above against your own ratio of prompt to completion before deciding.

Can I switch between Decider 27B and Gemini Decision 1 without changing my code?

Yes. Both are OpenAI-compatible through one CompanyFabric key, so switching is the model string and nothing else, no second SDK, no second contract, one prepaid balance across both.

Do I have to choose?

No. Send companyfabric/auto and we route each request to the cheapest model that can serve it, which is how most people use both without deciding in advance.

One key. Every model. Exact prices.

Run Decider 27B and Gemini Decision 1 on the same key and compare them on your own prompts. Free starter credits included, no subscription required.