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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.

  1. Gemini 4 ArgonGoogleRemove
  2. Hy4 previewTencentRemove
  3. Universal-3.5 ProAssemblyAIRemove
gemini-4-argon vs hy4-preview vs universal-3-5-pro
AttributeGemini 4 Argongemini-4-argonHy4 previewhy4-previewUniversal-3.5 Prouniversal-3-5-pro
Pricing
Input$2.00 / 1M$0.834 / 1M— Not priced per input token
Output$10.00 / 1M$2.50 / 1M— Not priced per output token
Cache Write (5m)$2.00 / 1M$0.834 / 1MNot applicable
Cache Write (1h)$2.00 / 1M$0.834 / 1MNot applicable
Cache Read$2.00 / 1M$0.834 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1MN/A
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderGoogleTencentAssemblyAI
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-22
Description
SummaryGemini 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.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.AssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio.