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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. MAI-Transcribe 2MicrosoftRemove
  3. S2 ProFish AudioRemove
  4. Gemini 3.5 TranscribeGoogleRemove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs mai-transcribe-2 vs s2-pro vs gemini-3.5-transcribe
AttributeMuse Spark 1.3muse-spark-1.3MAI-Transcribe 2mai-transcribe-2S2 Pros2-proGemini 3.5 Transcribegemini-3.5-transcribe
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/A98.3K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoYes
Function CallingYesNoNoYes
JSON ModeYesNoNoNo
StreamingYesNoNoNo
Catalogue
ProviderMetaMicrosoftFish AudioGoogle
Categorychatvoicevoicevoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-032026-07-292026-09-25
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.Microsoft MAI-Transcribe-2 speech-to-text. 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.