Skip to content

Compare models

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. Transcribe 1 ProFish AudioRemove
  4. Hy4 previewTencentRemove

4 is the maximum. Remove one to add another.

mai-ds-r1:free vs gemini-4-argon vs transcribe-1-pro vs hy4-preview
Attributemai-ds-r1:freeNot in the catalogueGemini 4 Argongemini-4-argonTranscribe 1 Protranscribe-1-proHy4 previewhy4-preview
Pricing
Input—$2.00 / 1M— Not priced per input token$0.834 / 1M
Output—$10.00 / 1M— Not priced per output token$2.50 / 1M
Cache Write (5m)—$2.00 / 1MNot applicable$0.834 / 1M
Cache Write (1h)—$2.00 / 1MNot applicable$0.834 / 1M
Cache Read—$2.00 / 1MNot applicable$0.834 / 1M
Web Search—$0 / 1M$0 / 1M$0 / 1M
Context
Max context—1MN/A1M
Max output—N/AN/AN/A
Capabilities
Vision—YesNoYes
Function Calling—YesNoYes
JSON Mode—YesNoYes
Streaming—YesNoYes
Catalogue
Provider—GoogleFish AudioTencent
Category—chatvoicechat
Charge type—Pay As You GoPay As You GoPay As You Go
Released——2026-09-24—
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.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.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.