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
- 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 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 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