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Gemini 3.1 Pro API: Setup, Pricing, Limits, and Migration Guide
As of October 10, 2026, Gemini 3.1 Pro is a paid Preview API with no free tier: $2 input / $12 output per 1M tokens up to 200k, no shutdown date.
17 min
Gemini & Google AI
Gemini guides: comparing models, free tiers and rate limits, Google AI Studio and Vertex AI, API keys and billing, plus subscription plans and student offers.
- 15 articles
- Updated Oct 10, 2026
Gemini Agent for Work Pricing & Access: Preview, No Price Yet
As of October 10, 2026, the Gemini agent is in private preview with no list price. Google plans no add-on fee, but agent usage is expected to be metered.
17 min
Google Playground Availability: US-Only, 18+, and Who Can Create
As of October 9, 2026, Google's game-making Playground is open only to US users 18+. Free users play now and wait to create; Google AI plans create at once.
12 min
Why Can't Gemini Generate Images of People? Policy, Age or Quota
Gemini creates and edits people images within consent, privacy and safety rules. A no-person image request helps separate a people refusal from an access or quota problem.
14 min
Gemini 3.2 Flash: What Google's Official Model List Shows
Gemini 3.2 Flash is not listed in Google's current Gemini API catalog. Check the confirmed Flash releases and find the model ID to use for your application.
3 min
Gemini 3.8 Flash Cyber Access: A Fairwind Eligibility Guide
Fairwind is an organization-vetted cyber-defense program, not a public API tier. Use this guide to decide whether applying is realistic and what must be ready first.
6 min
Gemini 3.8 Flash: Pricing, Model ID, and a Safe 3.7 Migration
Gemini 3.8 Flash is ready to evaluate, but its 3.7-matching token rates do not guarantee the same bill. Measure accepted work, token use, latency, and tools—and treat Cyber as a separate Fairwind application.
7 min
Google AI Pro Is Free for Eligible U.S. College Students for 12 Months
Google has reopened a live student offer: eligible U.S. college students can redeem 12 months of Google AI Pro at no charge through December 31, 2026. Eligibility is account-specific, a payment method is required, and the plan renews at $19.99 per month unless cancelled.
7 min
Gemini Omni 1.1 Flash: Which Model ID Should You Use in Each Google Product?
Gemini Omni now has an official developer route, but Google exposes different model IDs and lifecycle terms across its products. Choose the Google product first, then copy the matching identifier.
6 min
Gemini 3.5 Flash Capabilities: API Verdict, Strengths, Limits, and When to Switch
Gemini 3.5 Flash is official as `gemini-3.5-flash`, strongest for agentic coding and long-horizon workflows, with clear limits around image, audio, Live API, and Computer Use.
12 min
Google AI Data Deletion: Delete Gemini, AI Studio, Chrome AI, and Cloud Data
A surface-first Google AI data deletion guide for Gemini Apps, AI Studio, Gemini API, Vertex AI, Chrome on-device AI, AI Mode, Search history, and publisher controls.
14 min
Gemini App for Mac: Official Download, Requirements, and Install Guide (2026)
The official Gemini Mac app is live now. This guide explains where to download it from Google, which Macs and accounts qualify, how the DMG install works, and why the App Store listing is not the main Mac route.
8 min
Gemma 4 Guide: Which Model to Use and Where to Run It
Gemma 4 is not one model. It is a four-model open family with a clear practical split: E2B and E4B for edge and on-device work, 26B A4B and 31B for workstation-class local inference. This guide helps you pick the right branch and the right place to run it.
12 min
Gemini 3.1 Pro Customtools: The Complete Guide to Building Reliable AI Agents (2026)
Gemini 3.1 Pro Customtools is Google's specialized model variant that prioritizes your custom tools over bash commands. This guide covers everything from the standard vs customtools behavioral difference to building production-ready AI agents with working code examples, dynamic routing strategies, and verified pricing data.
16 min
How to Set Gemini 3.1 Pro Thinking Levels: Complete Guide to LOW, MEDIUM, HIGH and Deep Think Mini (2026)
Gemini 3.1 Pro offers three thinking levels—LOW, MEDIUM, and HIGH—configured through the thinking_level parameter. Set LOW for fast tasks, MEDIUM as your daily default, and HIGH to activate Deep Think Mini for complex reasoning. The API defaults to HIGH (most expensive), so always specify your level explicitly. This guide covers complete code examples, cost optimization strategies, and migration from thinking_budget.
25 min