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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. Muse Spark 1.3MetaRemove
  2. Transcribe 1 ProFish AudioRemove
  3. Grok STT 1.0xAIRemove
  4. S1Fish AudioRemove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs transcribe-1-pro vs grok-stt-1.0 vs s1
AttributeMuse Spark 1.3muse-spark-1.3Transcribe 1 Protranscribe-1-proGrok STT 1.0grok-stt-1.0S1s1
Pricing
Input$1.25 / 1M$0 / 1M$0 / 1M$0 / 1M
Output$4.25 / 1M$0 / 1M$0 / 1M$0 / 1M
Cache Write (5m)$1.25 / 1MNot applicableNot applicableNot applicable
Cache Write (1h)$1.25 / 1MNot applicableNot applicableNot applicable
Cache Read$1.25 / 1MNot applicableNot applicableNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/AN/AN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoNo
Function CallingYesNoNoNo
JSON ModeYesNoNoNo
StreamingYesNoNoNo
Catalogue
ProviderMetaFish AudioxAIFish Audio
Categorychatvoicevoicevoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-242026-07-232026-07-29
Description
SummaryMuse 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.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.xAI Grok STT 1.0 speech-to-text. Billed per second of audio.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.