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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. Muse Spark 1.3MetaRemove
  2. Universal-3.5 ProAssemblyAIRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. S2 ProFish AudioRemove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs universal-3-5-pro vs perceptron-mk1.5 vs s2-pro
AttributeMuse Spark 1.3muse-spark-1.3Universal-3.5 Prouniversal-3-5-proPerceptron Mk1.5perceptron-mk1.5S2 Pros2-pro
Pricing
Input$1.25 / 1M$0 / 1M$0.15 / 1M$0 / 1M
Output$4.25 / 1M$0 / 1M$1.50 / 1M$0 / 1M
Cache Write (5m)$1.25 / 1MNot applicable$0.15 / 1MNot applicable
Cache Write (1h)$1.25 / 1MNot applicable$0.15 / 1MNot applicable
Cache Read$1.25 / 1MNot applicable$0.15 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/A36.9KN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoNo
Function CallingYesNoNoNo
JSON ModeYesNoNoNo
StreamingYesNoYesNo
Catalogue
ProviderMetaAssemblyAIPerceptronFish Audio
Categorychatvoicechatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-222026-09-252026-07-29
Description
SummaryMuse 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.AssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Fish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text.