Gemini 4 Argon
Review Gemini 4 Argon on key metrics including price, context length, throughput, and model features.
AuthorGoogle
Context Length1.0M
Supports Tools
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.
Activity
Last 14 daysNot enough activity yet
Prompt
0Completion
0Total
-Startup
Startup
Latency (p50)-
Throughput (p50)-
Pricing
Input$0.50/M tokens
Output$2.50/M tokens
Cached input$0.02/M tokens
Features
Input Modalitiestext, image, audio, file
Output Modalitiestext
Supported EndpointsChat Completions
Vision
Supports Tools