Nano Banana 2 (Gemini 3.1 Flash Image Preview)

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 3.7 Flash

google

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