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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. Perceptron Mk1.5PerceptronRemove
  2. Aura-2DeepgramRemove
  3. S2 ProFish AudioRemove
  4. Muse Spark 1.3MetaRemove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs aura-2 vs s2-pro vs muse-spark-1.3
AttributePerceptron Mk1.5perceptron-mk1.5Aura-2aura-2S2 Pros2-proMuse Spark 1.3muse-spark-1.3
Pricing
Input$0.15 / 1M$0 / 1M$0 / 1M$1.25 / 1M
Output$1.50 / 1M$0 / 1M$0 / 1M$4.25 / 1M
Cache Write (5m)$0.15 / 1MNot applicableNot applicable$1.25 / 1M
Cache Write (1h)$0.15 / 1MNot applicableNot applicable$1.25 / 1M
Cache Read$0.15 / 1MNot applicableNot applicable$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9KN/AN/A1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoNoYes
Function CallingNoNoNoYes
JSON ModeNoNoNoYes
StreamingYesNoNoYes
Catalogue
ProviderPerceptronDeepgramFish AudioMeta
Categorychatvoicevoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-252026-07-162026-07-29—
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Deepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.Fish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text.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.