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.

Hy4 previewTencent Remove
Gemini 4 ArgonGoogle Remove
Universal-3.5 ProAssemblyAI Remove

Add a model

DeepSeek V4.1 Flash 1017
Nemotron 3.5 Super VL (Free)
Nemotron 3.5 Super VL
Muse Spark Open
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

hy4-preview vs gemini-4-argon vs universal-3-5-pro
Attribute	Hy4 previewhy4-preview	Gemini 4 Argongemini-4-argon	Universal-3.5 Prouniversal-3-5-pro
Pricing
Input	$0.834 / 1M	$2.00 / 1M	— Not priced per input token
Output	$2.50 / 1M	$10.00 / 1M	— Not priced per output token
Cache Write (5m)	$0.834 / 1M	$2.00 / 1M	Not applicable
Cache Write (1h)	$0.834 / 1M	$2.00 / 1M	Not applicable
Cache Read	$0.834 / 1M	$2.00 / 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	Tencent	Google	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	Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.	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.	AssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio.