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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. Transcribe 1 ProFish AudioRemove
  2. Gemini 4 ArgonGoogleRemove
  3. mai-ds-r1:freeNot in the catalogueRemove
transcribe-1-pro vs gemini-4-argon vs mai-ds-r1:free
AttributeTranscribe 1 Protranscribe-1-proGemini 4 Argongemini-4-argonmai-ds-r1:freeNot in the catalogue
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 ReadNot applicable$2.00 / 1M—
Web Search$0 / 1M$0 / 1M—
Context
Max contextN/A1M—
Max outputN/AN/A—
Capabilities
VisionNoYes—
Function CallingNoYes—
JSON ModeNoYes—
StreamingNoYes—
Catalogue
ProviderFish AudioGoogle—
Categoryvoicechat—
Charge typePay As You GoPay As You Go—
Released2026-09-24——
Description
SummaryFish 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.—