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.

GLM 5.3Z.AI Remove
Muse Spark OpenMeta Remove
Gemini 4 ArgonGoogle Remove
Perceptron Mk1.5Perceptron Remove

4 is the maximum. Remove one to add another.

glm-5.3 vs muse-spark-open vs gemini-4-argon vs perceptron-mk1.5
Attribute	GLM 5.3glm-5.3	Muse Spark Openmuse-spark-open	Gemini 4 Argongemini-4-argon	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$1.40 / 1M	$1.25 / 1M	$2.00 / 1M	$0.15 / 1M
Output	$4.40 / 1M	$4.25 / 1M	$10.00 / 1M	$1.50 / 1M
Cache Write (5m)	$1.40 / 1M	$1.25 / 1M	$2.00 / 1M	$0.15 / 1M
Cache Write (1h)	$1.40 / 1M	$1.25 / 1M	$2.00 / 1M	$0.15 / 1M
Cache Read	$1.40 / 1M	$1.25 / 1M	$2.00 / 1M	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	1M	1M	36.9K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	No	Yes	Yes	No
Function Calling	Yes	Yes	Yes	No
JSON Mode	Yes	Yes	Yes	No
Streaming	Yes	Yes	Yes	Yes
Catalogue
Provider	Z.AI	Meta	Google	Perceptron
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	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.	Muse Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential.	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.