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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. Voxtral Small 24B 2507 STTMistral AIRemove
  3. Muse Spark 1.3MetaRemove
transcribe-1-pro vs voxtral-small-24b-2507-stt vs muse-spark-1.3
AttributeTranscribe 1 Protranscribe-1-proVoxtral Small 24B 2507 STTvoxtral-small-24b-2507-sttMuse Spark 1.3muse-spark-1.3
Pricing
Input$0 / 1M$0 / 1M$1.25 / 1M
Output$0 / 1M$0 / 1M$4.25 / 1M
Cache Write (5m)Not applicableNot applicable$1.25 / 1M
Cache Write (1h)Not applicableNot applicable$1.25 / 1M
Cache ReadNot applicableNot applicable$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/AN/A1M
Max outputN/AN/AN/A
Capabilities
VisionNoNoYes
Function CallingNoNoYes
JSON ModeNoNoYes
StreamingNoNoYes
Catalogue
ProviderFish AudioMistral AIMeta
Categoryvoicevoicechat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-242026-08-13—
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.Mistral AI Voxtral Small (24B) speech-to-text. Billed per second of audio.Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.