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.

mai-ds-r1:freeNot in the catalogue Remove
Gemini 4 ArgonGoogle Remove
Muse Spark 1.3Meta Remove
Perceptron Mk1.5Perceptron Remove

4 is the maximum. Remove one to add another.

mai-ds-r1:free vs gemini-4-argon vs muse-spark-1.3 vs perceptron-mk1.5
Attribute	mai-ds-r1:freeNot in the catalogue	Gemini 4 Argongemini-4-argon	Muse Spark 1.3muse-spark-1.3	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	—	$2.00 / 1M	$1.25 / 1M	$0.15 / 1M
Output	—	$10.00 / 1M	$4.25 / 1M	$1.50 / 1M
Cache Write (5m)	—	$2.00 / 1M	$1.25 / 1M	$0.15 / 1M
Cache Write (1h)	—	$2.00 / 1M	$1.25 / 1M	$0.15 / 1M
Cache Read	—	$2.00 / 1M	$1.25 / 1M	$0.15 / 1M
Web Search	—	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	—	1M	1M	36.9K
Max output	—	N/A	N/A	N/A
Capabilities
Vision	—	Yes	Yes	No
Function Calling	—	Yes	Yes	No
JSON Mode	—	Yes	Yes	No
Streaming	—	Yes	Yes	Yes
Catalogue
Provider	—	Google	Meta	Perceptron
Category	—	chat	chat	chat
Charge type	—	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	—	2026-09-25
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.	Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.