Compare models

Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

Add a model

gemini-4-argon vs gemini-3-pro-image-vertex
Attribute	Gemini 4 Argongemini-4-argon	Gemini 3 Pro Image (Google Vertex AI)gemini-3-pro-image-vertex
Pricing
Input	$2.00 / 1M	—
Output	$10.00 / 1M	—
Cache Write (5m)	$2.00 / 1M	Not applicable
Cache Write (1h)	$2.00 / 1M	Not applicable
Cache Read	$2.00 / 1M	Not applicable
Web Search	$0 / 1M	—
Request	—	$0.134 / request
Billing	—	Pay Per Request
Context
Max context	1M	N/A
Max output	N/A	N/A
Capabilities
Vision	Yes	Yes
Function Calling	Yes	No
JSON Mode	Yes	No
Streaming	Yes	No
Catalogue
Provider	Google	Google
Category	chat	image
Charge type	Pay As You Go	Pay Per Request
Released	—	—
Description
Summary	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.	Gemini 3 Pro Image served from Google Vertex AI. Billed per image at US$0.134. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI.