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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. mai-ds-r1:freeNot in the catalogueRemove
  3. Hy4 previewTencentRemove
gemini-4-argon vs mai-ds-r1:free vs hy4-preview
AttributeGemini 4 Argongemini-4-argonmai-ds-r1:freeNot in the catalogueHy4 previewhy4-preview
Pricing
Input$2.00 / 1M—$0.834 / 1M
Output$10.00 / 1M—$2.50 / 1M
Cache Write (5m)$2.00 / 1M—$0.834 / 1M
Cache Write (1h)$2.00 / 1M—$0.834 / 1M
Cache Read$2.00 / 1M—$0.834 / 1M
Web Search$0 / 1M—$0 / 1M
Context
Max context1M—1M
Max outputN/A—N/A
Capabilities
VisionYes—Yes
Function CallingYes—Yes
JSON ModeYes—Yes
StreamingYes—Yes
Catalogue
ProviderGoogle—Tencent
Categorychat—chat
Charge typePay As You Go—Pay As You Go
Released———
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.