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 Astra ProOpenAI Remove
Gemini 4 ArgonGoogle Remove
Perceptron Mk1.5Perceptron Remove
GLM 5.3Z.AI Remove

4 is the maximum. Remove one to add another.

gpt-6-astra-pro vs gemini-4-argon vs perceptron-mk1.5 vs glm-5.3
Attribute	GPT-6 Astra Progpt-6-astra-pro	Gemini 4 Argongemini-4-argon	Perceptron Mk1.5perceptron-mk1.5	GLM 5.3glm-5.3
Pricing
Input	$10.00 / 1M	$2.00 / 1M	$0.15 / 1M	$1.40 / 1M
Output	$50.00 / 1M	$10.00 / 1M	$1.50 / 1M	$4.40 / 1M
Cache Write (5m)	$10.00 / 1M	$2.00 / 1M	$0.15 / 1M	$1.40 / 1M
Cache Write (1h)	$10.00 / 1M	$2.00 / 1M	$0.15 / 1M	$1.40 / 1M
Cache Read	$10.00 / 1M	$2.00 / 1M	$0.15 / 1M	$1.40 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	1M	36.9K	1M
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No	No
Function Calling	Yes	Yes	No	Yes
JSON Mode	Yes	Yes	No	Yes
Streaming	Yes	Yes	Yes	Yes
Catalogue
Provider	OpenAI	Google	Perceptron	Z.AI
Category	chat	chat	chat	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	2026-09-25	—
Description
Summary	GPT-6 Astra Pro uses the same underlying model as GPT-6 Astra, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is well suited for demanding coding, analysis, and agentic workflows where solution quality takes priority over speed and cost.	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.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.	GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution.