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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. Claude Opus 4.6 (Thinking)AnthropicRemove
transcribe-1-pro vs gemini-3.5-transcribe vs claude-opus-4-6-thinking
AttributeTranscribe 1 Protranscribe-1-proGemini 3.5 Transcribegemini-3.5-transcribeClaude Opus 4.6 (Thinking)claude-opus-4-6-thinking
Pricing
Input——$4.00 / 1M
Output——$20.00 / 1M
Cache Write (5m)Not applicableNot applicable$5.00 / 1M
Cache Write (1h)Not applicableNot applicable$8.00 / 1M
Cache ReadNot applicableNot applicable$0.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A98.3K1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoNoYes
StreamingNoNoYes
Catalogue
ProviderFish AudioGoogleAnthropic
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.Opus 4.6 is Anthropic's most capable model for coding and long-running professional workflows, designed for agents that operate across entire workflows rather than single prompts. It demonstrates strong performance on large codebases, complex refactoring, and multi-step debugging, with improved contextual understanding, deeper problem decomposition, and higher reliability on challenging engineering tasks compared to earlier generations. Beyond software development, Opus 4.6 excels at sustained knowledge work, producing near production-ready documents, technical plans, and analyses in a single pass while maintaining coherence across long outputs and extended sessions. Its strength in persistence, judgment, and structured execution makes it well suited for technical design, migration planning, and end-to-end project execution.