Gemini 3.7 Flash

Gemini 4 Argon

google

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

google

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 3.6 Flash

google

Gemini 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