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AI123AI ModelsgoogleGemini 3.1 Pro Preview
Gemini 3.1 Pro Preview

Gemini 3.1 Pro Preview

google

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 of the Gemini 3 series, it combines high-precision reasoning across text, image, video, audio, and code with a 1M-token context window. Reasoning Details must be preserved when using multi-turn tool calling, see our docs here: https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning. The 3.1 update introduces measurable gains in SWE benchmarks and real-world coding environments, along with stronger autonomous task execution in structured domains such as finance and spreadsheet-based workflows.

Designed for advanced development and agentic systems, Gemini 3.1 Pro Preview improves long-horizon stability and tool orchestration while increasing token efficiency. It introduces a new medium thinking level to better balance cost, speed, and performance. The model excels in agentic coding, structured planning, multimodal analysis, and workflow automation, making it well-suited for autonomous agents, financial modeling, spreadsheet automation, and high-context enterprise tasks.

Modalities
TT
Input / output price
$2/$12per 1M tokens
Context
1.0M
Released
2026-02-19
PricingArtificial AnalysisDesign ArenaRelated Models

Pricing

Usage prices in USD. Token rates are per one million tokens; other billing units are shown with each charge.
InputOutputCache readCache writeWeb search
$2.00/ 1M tokensOver 200K: $4.00 / 1M tokens$12.00/ 1M tokensOver 200K: $18.00 / 1M tokens$0.20/ 1M tokensOver 200K: $0.40 / 1M tokens$0.38/ 1M tokens$0.014/ request

Artificial Analysis

Explore rankings
29.7

Intelligence index

Outperforms 77% of compared models

68.8

Coding index

Outperforms 79% of compared models

8.2

Agentic index

Outperforms 38% of compared models

Design Arena

Elo scores and win rates across design and agent tasks.

Category performance

1,000-1,500 Elo
3D: 1231; Asciiart: 1267; Code Categories: 1242; Data Visualization: 1239; Game Development: 1202; SVG: 1283; UI Component: 1275; Website: 12513D1231 EloAsciiart1267 EloCode Categories1242 EloData Visualization1239 EloGame Development1202 EloSVG1283 EloUI Component1275 EloWebsite1251 Elo

Model Arena

SVG

1283Elo

Win rate 67.8%

Asciiart

1267Elo

Win rate 63.5%

UI Component

1275Elo

Win rate 69.4%

Data Visualization

1239Elo

Win rate 61.8%

3D

1231Elo

Win rate 58.4%

Website

1251Elo

Win rate 64.4%

Code Categories

1242Elo

Win rate 64.4%

Game Development

1202Elo

Win rate 52.2%

Agent Arena

Agentichtmlslides

1226Elo

Win rate 55.8%

Agenticslides(html)

1219Elo

Win rate 54.4%

Agenticslides

1112Elo

Win rate 33.8%

Agenticslides(python-pptx)

1107Elo

Win rate 33.9%

Pptxslides

1110Elo

Win rate 34.1%

Godotgamedev

1236Elo

Win rate 60%

Blender3d

1093Elo

Win rate 39.1%

Htmlslides

1049Elo

Win rate 48.6%

Agenticgamedev

1077Elo

Win rate 44%

Python-pptxslides

1109Elo

Win rate 31.9%

Fullstack

1068Elo

Win rate 40.8%

Webapps

1125Elo

Win rate 44.3%

Androidnative

1047Elo

Win rate 41.3%

Mobile Apps

1092Elo

Win rate 42.9%

How Design Arena works

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Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.

Context
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Max output
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Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

Context
1.0M
Max output
65.5K
Released
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Gemini 3.7 Flash

Gemini 3.7 Flash

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Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step problem solving.

Context
1.0M
Max output
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Released
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Input
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Output
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Cache read
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Home > Models > Gemini 3.1 Pro Preview