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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. Perceptron Mk1.5PerceptronRemove
aura-2 vs muse-spark-1.3 vs perceptron-mk1.5
AttributeAura-2aura-2Muse Spark 1.3muse-spark-1.3Perceptron Mk1.5perceptron-mk1.5
Pricing
Input$0 / 1M$1.25 / 1M$0.15 / 1M
Output$0 / 1M$4.25 / 1M$1.50 / 1M
Cache Write (5m)Not applicable$1.25 / 1M$0.15 / 1M
Cache Write (1h)Not applicable$1.25 / 1M$0.15 / 1M
Cache ReadNot applicable$1.25 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M36.9K
Max outputN/AN/AN/A
Capabilities
VisionNoYesNo
Function CallingNoYesNo
JSON ModeNoYesNo
StreamingNoYesYes
Catalogue
ProviderDeepgramMetaPerceptron
Categoryvoicechatchat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-07-16—2026-09-25
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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.