Intelligence index
Outperforms 98% of compared models
Gemini 4 Argon
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.
- Input / output price
- $2/$10per 1M tokens
- Context
- 1.0M
- Released
- 2026-10-13
Pricing
Artificial Analysis
Explore rankingsDesign Arena
Elo scores and win rates across design and agent tasks.
Category performance
1,000-1,500 EloModel Arena
SVG
1329Elo
Win rate 60.9%
Game Development
1369Elo
Win rate 58%
Website
1316Elo
Win rate 56.2%
3D
1384Elo
Win rate 55.7%
Code Categories
1330Elo
Win rate 56.1%
Data Visualization
1330Elo
Win rate 61.3%
UI Component
1332Elo
Win rate 57.7%
Agent Arena
Blender3d
1438Elo
Win rate 77.5%
Spreadsheet
1191Elo
Win rate 32.8%
Related Models
Gemini 3.8 Flash
googleGemini 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
- 2026-09-02
- Input
- $0.825/M
- Output
- $4.13/M
- Cache read
- $0.083/M
Gemini 3.7 Flash
googleGemini 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
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- Max output
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- Released
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- Input
- $0.75/M
- Output
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- Cache read
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Gemini 3.6 Flash
googleGemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and less hedging, while reducing token use and the number of model calls needed to complete a task.
- Context
- 1.0M
- Max output
- 65.5K
- Released
- 2026-07-21
- Input
- $0.75/M
- Output
- $3.75/M
- Cache read
- $0.075/M