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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
Qwen3.8 27BAlibaba 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 qwen3.8-27b vs universal-3-5-pro
Attribute	Gemini 4 Argongemini-4-argon	Qwen3.8 27Bqwen3.8-27b	Universal-3.5 Prouniversal-3-5-pro
Pricing
Input	$2.00 / 1M	$0.45 / 1M	— Not priced per input token
Output	$10.00 / 1M	$3.20 / 1M	— Not priced per output token
Cache Write (5m)	$2.00 / 1M	$0.45 / 1M	Not applicable
Cache Write (1h)	$2.00 / 1M	$0.45 / 1M	Not applicable
Cache Read	$2.00 / 1M	$0.45 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	262K	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	Alibaba	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.	Qwen3.8 27B is an open-weight dense vision-language model from Qwen, designed for coding, professional knowledge work, research, and multimodal interaction. It combines strong text and visual understanding with capabilities optimized for sustained, real-world agentic tasks. The model supports flexible thinking modes that can be enabled for deeper reasoning or disabled for faster execution, making it well suited for long-running agents, multimodal workflows, coding assistants, and cost-conscious self-hosted deployments.	AssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio.