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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. S1Fish AudioRemove
  3. Muse Spark 1.3MetaRemove
perceptron-mk1.5 vs s1 vs muse-spark-1.3
AttributePerceptron Mk1.5perceptron-mk1.5S1s1Muse Spark 1.3muse-spark-1.3
Pricing
Input$0.15 / 1M$0 / 1M$1.25 / 1M
Output$1.50 / 1M$0 / 1M$4.25 / 1M
Cache Write (5m)$0.15 / 1MNot applicable$1.25 / 1M
Cache Write (1h)$0.15 / 1MNot applicable$1.25 / 1M
Cache Read$0.15 / 1MNot applicable$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9KN/A1M
Max outputN/AN/AN/A
Capabilities
VisionNoNoYes
Function CallingNoNoYes
JSON ModeNoNoYes
StreamingYesNoYes
Catalogue
ProviderPerceptronFish AudioMeta
Categorychatvoicechat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-252026-07-29—
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Fish Audio S1 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.