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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. mai-ds-r1:freeNot in the catalogueRemove
  2. Gemini 4 ArgonGoogleRemove
  3. Hy4 previewTencentRemove
mai-ds-r1:free vs gemini-4-argon vs hy4-preview
Attributemai-ds-r1:freeNot in the catalogueGemini 4 Argongemini-4-argonHy4 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 context—1M1M
Max output—N/AN/A
Capabilities
Vision—YesYes
Function Calling—YesYes
JSON Mode—YesYes
Streaming—YesYes
Catalogue
Provider—GoogleTencent
Category—chatchat
Charge type—Pay As You GoPay As You Go
Released———
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.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.