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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 3.8 FlashGoogle Remove
Gemini 4 ArgonGoogle Remove
Universal-3.5 ProAssemblyAI Remove

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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

gemini-3.8-flash vs gemini-4-argon vs universal-3-5-pro
Attribute	Gemini 3.8 Flashgemini-3.8-flash	Gemini 4 Argongemini-4-argon	Universal-3.5 Prouniversal-3-5-pro
Pricing
Input	$0.75 / 1M	$2.00 / 1M	— Not priced per input token
Output	$3.75 / 1M	$10.00 / 1M	— Not priced per output token
Cache Write (5m)	$0.75 / 1M	$2.00 / 1M	Not applicable
Cache Write (1h)	$0.75 / 1M	$2.00 / 1M	Not applicable
Cache Read	$0.75 / 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	Google	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	Gemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality.	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.