Intelligence index
Outperforms 71% of compared models
Gemini 3 Flash Preview
Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and tool use performance with substantially lower latency than larger Gemini variants, making it well suited for interactive development, long running agent loops, and collaborative coding tasks. Compared to Gemini 2.5 Flash, it provides broad quality improvements across reasoning, multimodal understanding, and reliability.
The model supports a 1M token context window and multimodal inputs including text, images, audio, video, and PDFs, with text output. It includes configurable reasoning via thinking levels (minimal, low, medium, high), structured output, tool use, and automatic context caching. Gemini 3 Flash Preview is optimized for users who want strong reasoning and agentic behavior without the cost or latency of full scale frontier models.
- Input / output price
- $0.5/$3per 1M tokens
- Context
- 1.0M
- Released
- 2025-12-17
Pricing
Artificial Analysis
Explore rankingsDesign Arena
Elo scores and win rates across design and agent tasks.
Category performance
1,000-1,500 EloModel Arena
3D
1181Elo
Win rate 62.7%
Code Categories
1187Elo
Win rate 57.6%
Website
1194Elo
Win rate 57%
Game Development
1166Elo
Win rate 58.3%
Agent Arena
Agenticslides
1073Elo
Win rate 39.3%
Agenticslides(python-pptx)
1075Elo
Win rate 39.3%
Godotgamedev
1161Elo
Win rate 50.6%
Python-pptxslides
1036Elo
Win rate 38.3%
Fullstack
1063Elo
Win rate 47.4%
Androidnative
1049Elo
Win rate 48.1%
Webapps
1110Elo
Win rate 48.5%
Mobile Apps
1090Elo
Win rate 46.6%
Related Models
Gemini 4 Argon
googleGemini 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
- 1.0M
- Max output
- 943.7K
- Released
- 2026-10-13
- Input
- $2/M
- Output
- $10/M
- Cache read
- $0.1/M
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
- 1.0M
- Max output
- 65.5K
- Released
- 2026-08-13
- Input
- $0.75/M
- Output
- $3.75/M
- Cache read
- $0.075/M