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

4 is the maximum. Remove one to add another.

aura-2 vs muse-spark-1.3 vs grok-stt-1.0 vs transcribe-1-pro
AttributeAura-2aura-2Muse Spark 1.3muse-spark-1.3Grok STT 1.0grok-stt-1.0Transcribe 1 Protranscribe-1-pro
Pricing
Input$0 / 1M$1.25 / 1M$0 / 1M$0 / 1M
Output$0 / 1M$4.25 / 1M$0 / 1M$0 / 1M
Cache Write (5m)Not applicable$1.25 / 1MNot applicableNot applicable
Cache Write (1h)Not applicable$1.25 / 1MNot applicableNot applicable
Cache ReadNot applicable$1.25 / 1MNot applicableNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1MN/AN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesNoNo
Function CallingNoYesNoNo
JSON ModeNoYesNoNo
StreamingNoYesNoNo
Catalogue
ProviderDeepgramMetaxAIFish Audio
Categoryvoicechatvoicevoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-16—2026-07-232026-09-24
Description
SummaryDeepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.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.xAI Grok STT 1.0 speech-to-text. Billed per second of audio.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.