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. Transcribe 1 ProFish AudioRemove
  2. S2 ProFish AudioRemove
  3. Gemini 3.5 TranscribeGoogleRemove
  4. GPT-6 SolOpenAIRemove

4 is the maximum. Remove one to add another.

transcribe-1-pro vs s2-pro vs gemini-3.5-transcribe vs gpt-6-sol
AttributeTranscribe 1 Protranscribe-1-proS2 Pros2-proGemini 3.5 Transcribegemini-3.5-transcribeGPT-6 Solgpt-6-sol
Pricing
Input$0 / 1M$0 / 1M$0 / 1M$2.00 / 1M
Output$0 / 1M$0 / 1M$0 / 1M$10.00 / 1M
Cache Write (5m)Not applicableNot applicableNot applicable$2.00 / 1M
Cache Write (1h)Not applicableNot applicableNot applicable$2.00 / 1M
Cache ReadNot applicableNot applicableNot applicable$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/AN/A98.3K1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesYes
Function CallingNoNoYesYes
JSON ModeNoNoNoYes
StreamingNoNoNoYes
Catalogue
ProviderFish AudioFish AudioGoogleOpenAI
Categoryvoicevoicevoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-242026-07-292026-09-25—
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.Fish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.GPT-6 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applications