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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. Gemini 3.5 TranscribeGoogleRemove
  3. S1Fish AudioRemove
  4. Aura-2DeepgramRemove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs gemini-3.5-transcribe vs s1 vs aura-2
AttributeMuse Spark 1.3muse-spark-1.3Gemini 3.5 Transcribegemini-3.5-transcribeS1s1Aura-2aura-2
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 context1M98.3KN/AN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoNo
Function CallingYesYesNoNo
JSON ModeYesNoNoNo
StreamingYesNoNoNo
Catalogue
ProviderMetaGoogleFish AudioDeepgram
Categorychatvoicevoicevoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-252026-07-292026-07-16
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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.Deepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.