# Gemini 3.1 Pro

> Gemini 3.1 Pro is available on Artifio.ai — a unified AI workspace with a single pay-as-you-go wallet.

- Canonical page: https://artifio.ai/models/gemini-3-1-pro
- Run it: https://artifio.ai/create/gemini-3-1-pro
- Modality: prompt to text
- Model brand: Google
- Pricing: from about $0.050 per generation (exact cost shown in the workspace before you confirm; varies with selected options)
- Typical generation time: ~20s (catalogue estimate)
- Full pricing table: https://artifio.ai/pricing/models

## About Gemini 3.1 Pro

Gemini 3.1 Pro is Google's upgraded Pro-tier reasoning model, released in preview on February 19, 2026. It folds the reasoning advances that debuted in Gemini 3 Deep Think into the standard Pro baseline, and the .1 increment was a first for the Gemini line, which had previously jumped in .5 steps. Google positions it for tasks where a simple answer isn't enough.

The headline result is ARC-AGI-2, a benchmark of novel logic patterns, where 3.1 Pro scores 77.1%, more than double Gemini 3 Pro's result.

## Features

- 77.1% on ARC-AGI-2, over twice the reasoning performance of Gemini 3 Pro on that benchmark.
- 1 million token input context with up to 64K output tokens, per the DeepMind model card.
- Accepts text, images, audio and video inputs, including whole code repositories and long PDFs in one pass.
- Google's launch demos include generating animated SVGs from text, synthesizing multi-source data into single visualizations, and building interactive 3D experiences in code.
- Available in preview through the Gemini API, Google AI Studio, Vertex AI, Gemini Enterprise, Gemini CLI, Antigravity and Android Studio, plus the Gemini app and NotebookLM for Pro and Ultra subscribers.

## What people use it for

- Complex problem-solving that mixes sources: synthesizing text, audio, video, PDFs and code into one analysis.
- Advanced coding and algorithm development over repository-scale context.
- Turning conceptual or numeric material into visual explanations, the workload Google demoed at launch.
- Long-context enterprise analysis on Vertex AI and Gemini Enterprise.
- Agentic workflows, the area Google said it was validating during the preview period.

## Reported strengths

- A step-change on abstract reasoning, with the ARC-AGI-2 score doubling its three-month-old predecessor.
- Deep Think-derived reasoning without switching to a separate slow mode.
- Day-one availability across both developer and consumer surfaces.
- A published DeepMind model card documents modalities, token limits and safety evaluations.

## Reported limitations

- Preview status at launch; Google explicitly said it was validating agentic workflows before general availability.
- The model card reports its cyber capabilities reached DeepMind's internal alert threshold, though below the critical capability level.
- Three months after release Google reported Gemini 3.5 Flash beating it on coding, agentic and multimodal benchmarks at lower cost.
- Consumer access to the model in the Gemini app and NotebookLM was gated to paid Pro and Ultra plans.

## Sources

1. Gemini 3.1 Pro: A smarter model for your most complex tasks (Google): https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-pro/
2. Gemini 3.1 Pro - Model Card (Google DeepMind): https://deepmind.google/models/model-cards/gemini-3-1-pro/
3. Google announces Gemini 3.1 Pro for 'complex problem-solving' (9to5Google): https://9to5google.com/2026/02/19/google-announces-gemini-3-1-pro-for-complex-problem-solving/
4. Gemini 3.5: frontier intelligence with action (Google): https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5/

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