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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. Aura-2DeepgramRemove
  2. MAI-Transcribe 2MicrosoftRemove
  3. Muse Spark 1.3MetaRemove
  4. Transcribe 1 ProFish AudioRemove

4 is the maximum. Remove one to add another.

aura-2 vs mai-transcribe-2 vs muse-spark-1.3 vs transcribe-1-pro
AttributeAura-2aura-2MAI-Transcribe 2mai-transcribe-2Muse Spark 1.3muse-spark-1.3Transcribe 1 Protranscribe-1-pro
Pricing
Input$0 / 1M$0 / 1M$1.25 / 1M$0 / 1M
Output$0 / 1M$0 / 1M$4.25 / 1M$0 / 1M
Cache Write (5m)Not applicableNot applicable$1.25 / 1MNot applicable
Cache Write (1h)Not applicableNot applicable$1.25 / 1MNot applicable
Cache ReadNot applicableNot applicable$1.25 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/AN/A1MN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesNo
Function CallingNoNoYesNo
JSON ModeNoNoYesNo
StreamingNoNoYesNo
Catalogue
ProviderDeepgramMicrosoftMetaFish Audio
Categoryvoicevoicechatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-162026-09-03—2026-09-24
Description
SummaryDeepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.Microsoft MAI-Transcribe-2 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.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.