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

Gemini 4 ArgonGoogle Remove
GLM 5.3 FlashZ.AI Remove
Universal-3.5 ProAssemblyAI Remove

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DeepSeek V4.1 Flash 1017
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Muse Wonder
Gemini 3.1 Flash Lite Image (Google Vertex AI)
Gemini 3.1 Flash Lite Image (Google AI Studio)Enterprise & partner access
Gemini 3.1 Flash Image (Google Vertex AI)Enterprise & partner access

gemini-4-argon vs glm-5.3-flash vs universal-3-5-pro
Attribute	Gemini 4 Argongemini-4-argon	GLM 5.3 Flashglm-5.3-flash	Universal-3.5 Prouniversal-3-5-pro
Pricing
Input	$2.00 / 1M	$0.075 / 1M	— Not priced per input token
Output	$10.00 / 1M	$0.25 / 1M	— Not priced per output token
Cache Write (5m)	$2.00 / 1M	$0.075 / 1M	Not applicable
Cache Write (1h)	$2.00 / 1M	$0.075 / 1M	Not applicable
Cache Read	$2.00 / 1M	$0.075 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	1M	N/A
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	No
Catalogue
Provider	Google	Z.AI	AssemblyAI
Category	chat	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	2026-09-22
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.	GLM-5.3-Flash is Z.AI's efficient native multimodal model, designed for coding and long-horizon agentic workflows. It combines strong multimodal capabilities with an architecture optimized for responsive, cost-efficient task execution. Built on a hybrid sparse and linear attention architecture, GLM-5.3-Flash maintains accurate long-context behavior while reducing computational overhead, making it well suited for coding agents, extended multi-step tasks, and scalable production workloads.	AssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio.