Skip to content
Gemini 3.1 Pro: Tune Reasoning, Vision and Cost in Python — ContentBuffer guide

Gemini 3.1 Pro: Tune Reasoning, Vision and Cost in Python

K
Kodetra Technologies··9 min read Intermediate

Summary

Control thinking_level, media_resolution and thought signatures in the Gemini 3.1 Pro API.

Gemini 3.1 Pro: Tune Reasoning, Vision and Cost in Python

Gemini 3.1 Pro Preview is the model everyone is wiring into their stacks this week. The Apple keynote on June 8 put a Gemini model inside Siri, Microsoft shipped a wave of its own MAI models the same day, and across developer communities the question that keeps coming up is not how smart is it but how do I stop it from being slow and expensive. The good news: Gemini 3 added three concrete knobs that let you trade reasoning depth, vision fidelity, and latency against cost on a per-request basis.

Keep reading — it's free

Enter your email to keep reading — plus the best of AI & tech, daily. Free, forever.

Also get
or

Already a member? Sign in

Comments

Subscribe to join the conversation...

Be the first to comment