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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. Transcribe 1 ProFish AudioRemove
  3. Gemini 4 ArgonGoogleRemove
mai-ds-r1:free vs transcribe-1-pro vs gemini-4-argon
Attributemai-ds-r1:freeNot in the catalogueTranscribe 1 Protranscribe-1-proGemini 4 Argongemini-4-argon
Pricing
Input—— Not priced per input token$2.00 / 1M
Output—— Not priced per output token$10.00 / 1M
Cache Write (5m)—Not applicable$2.00 / 1M
Cache Write (1h)—Not applicable$2.00 / 1M
Cache Read—Not applicable$2.00 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max context—N/A1M
Max output—N/AN/A
Capabilities
Vision—NoYes
Function Calling—NoYes
JSON Mode—NoYes
Streaming—NoYes
Catalogue
Provider—Fish AudioGoogle
Category—voicechat
Charge type—Pay As You GoPay As You Go
Released—2026-09-24—
Description
Summary—Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.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.