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.

GPT-6 AstraOpenAI Remove
Perceptron Mk1.5Perceptron Remove
mai-ds-r1:freeNot in the catalogue Remove
Gemini 4 ArgonGoogle Remove

4 is the maximum. Remove one to add another.

gpt-6-astra vs perceptron-mk1.5 vs mai-ds-r1:free vs gemini-4-argon
Attribute	GPT-6 Astragpt-6-astra	Perceptron Mk1.5perceptron-mk1.5	mai-ds-r1:freeNot in the catalogue	Gemini 4 Argongemini-4-argon
Pricing
Input	$10.00 / 1M	$0.15 / 1M	—	$2.00 / 1M
Output	$50.00 / 1M	$1.50 / 1M	—	$10.00 / 1M
Cache Write (5m)	$10.00 / 1M	$0.15 / 1M	—	$2.00 / 1M
Cache Write (1h)	$10.00 / 1M	$0.15 / 1M	—	$2.00 / 1M
Cache Read	$10.00 / 1M	$0.15 / 1M	—	$2.00 / 1M
Web Search	$0 / 1M	$0 / 1M	—	$0 / 1M
Context
Max context	1M	36.9K	—	1M
Max output	N/A	N/A	—	N/A
Capabilities
Vision	Yes	No	—	Yes
Function Calling	Yes	No	—	Yes
JSON Mode	Yes	No	—	Yes
Streaming	Yes	Yes	—	Yes
Catalogue
Provider	OpenAI	Perceptron	—	Google
Category	chat	chat	—	chat
Charge type	Pay As You Go	Pay As You Go	—	Pay As You Go
Released	—	2026-09-25	—	—
Description
Summary	GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.	—	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.