Google

Google: Gemini 3.1 Pro Preview

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...

Context Window
1049K tokens
Parameters
N/A
Input Price
$2.00/1M
Output Price
$12.00/1M
Price Tier
premium
Provider
Google

How to Use Google: Gemini 3.1 Pro Preview

With CoreAI, you can start chatting with Google: Gemini 3.1 Pro Preview instantly — no separate subscription needed. CoreAI lets you chat with Google: Gemini 3.1 Pro Preview alongside 300+ other AI models from Google and other providers like OpenAI, Anthropic, Google, Meta, and more.

  1. Download the CoreAI app for iOS, Android, or use the Web App
  2. Select Google: Gemini 3.1 Pro Preview from the model selector
  3. Start chatting, comparing, or creating with AI

Google: Gemini 3.1 Pro Preview at a Glance

Measured against all 392 chat models CoreAI serves, Google: Gemini 3.1 Pro Preview sits at #25 for context capacity — 1.0M tokens, roughly 786,432 words or 1,573 pages of text in a single conversation. On price, it is the #5 cheapest of 64 premium-tier models by input cost. It joined the catalog on 2026-02-19. It supports step-by-step reasoning (thinking mode) and accepts image input.

Google: Gemini 3.1 Pro Preview Compared to Its Closest Alternatives

SpecGoogle: Gemini 3.1 Pro PreviewGoogle: Gemini 3.1 Pro Preview Custom ToolsMoonshotAI: Kimi K3inclusionAI: Ling-2.6-flash
ProviderGoogleGoogleMoonshotaiInclusionai
Input $/1M tokens$2$2$3$0.01
Output $/1M tokens$12$12$15$0.03
Context window1.0M1.0M1.0M262K
Reasoning modeYesYesYesNo
Image inputYesYesYesNo
Price tierpremiumpremiumpremiumbudget

Every model in this table is available on CoreAI — open the web app and run the same prompt through Google: Gemini 3.1 Pro Preview and Google: Gemini 3.1 Pro Preview Custom Tools side by side to judge with your own eyes.

What Google: Gemini 3.1 Pro Preview Actually Costs in Practice

A typical question (about 1,000 tokens in, 500 out) runs $0.00800 on Google: Gemini 3.1 Pro Preview's raw per-token rates; a heavy session with a 50K-token document costs about $0.160. On CoreAI you don't juggle these numbers — one subscription covers Google: Gemini 3.1 Pro Preview and 300+ other models under a plan usage limit, with no API keys. See plans.

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Google: Gemini 3.5 Flash

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Google: Gemini 3.5 Flash (batch)

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Frequently Asked Questions about Google: Gemini 3.1 Pro Preview

What is Google: Gemini 3.1 Pro Preview's context window?

Google: Gemini 3.1 Pro Preview handles 1.0M tokens of context — roughly 786,432 words, or about 1,573 pages of text in one conversation.

How much does Google: Gemini 3.1 Pro Preview cost?

Google: Gemini 3.1 Pro Preview's underlying rates are $2 per 1M input tokens and $12 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.

Can Google: Gemini 3.1 Pro Preview process images?

Yes — Google: Gemini 3.1 Pro Preview accepts image input, so you can attach screenshots, photos or diagrams and ask questions about them.

Does Google: Gemini 3.1 Pro Preview support reasoning or thinking mode?

Yes. Google: Gemini 3.1 Pro Preview can work through problems step by step before answering; on CoreAI you can toggle thinking mode per message.

How can I use Google: Gemini 3.1 Pro Preview without an API key?

Open the CoreAI web app or the iOS/Android app, pick Google: Gemini 3.1 Pro Preview in the model selector, and chat — no API key, no per-token billing. One subscription covers Google: Gemini 3.1 Pro Preview and 300+ other models.

What are the best alternatives to Google: Gemini 3.1 Pro Preview?

The closest alternatives on CoreAI are Google: Gemini 3.1 Pro Preview Custom Tools, MoonshotAI: Kimi K3, inclusionAI: Ling-2.6-flash — similar tier and capability. The fastest way to choose is running one prompt through them side by side in CoreAI's Compare view.

Read More about Google: Gemini 3.1 Pro Preview

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