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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 3.5 TranscribeGoogleRemove
  3. Hy3TencentRemove
transcribe-1-pro vs gemini-3.5-transcribe vs hy3
AttributeTranscribe 1 Protranscribe-1-proGemini 3.5 Transcribegemini-3.5-transcribeHy3hy3
Pricing
Input— Not priced per input token— Not priced per input token$0.14 / 1M
Output— Not priced per output token— Not priced per output token$0.58 / 1M
Cache Write (5m)Not applicableNot applicable$0.14 / 1M
Cache Write (1h)Not applicableNot applicable$0.14 / 1M
Cache ReadNot applicableNot applicable$0.14 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A98.3K262K
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoNoYes
StreamingNoNoYes
Catalogue
ProviderFish AudioGoogleTencent
Categoryvoicevoicechat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-242026-09-25—
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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Hy3 is Tencent's 295B-parameter Mixture-of-Experts (MoE) model, activating 21B parameters per token across 192 experts, and designed for reasoning, agentic workflows, and production-scale applications. It supports a 256K-token context window and configurable reasoning modes, including no-think, low, and high reasoning effort to balance speed and problem-solving depth. Optimized for long-horizon tasks, coding, and tool-driven execution, Hy3 delivers strong performance in multi-turn reasoning, constraint tracking, and stable tool calling. With an emphasis on grounded responses and reduced hallucinations, it is well suited for software development, document processing, financial analysis, game development, and enterprise agent workflows.