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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. Perceptron Mk1.5PerceptronRemove
  3. Muse Spark 1.3MetaRemove
  4. GPT-6 Luna ProOpenAIRemove

4 is the maximum. Remove one to add another.

aura-2 vs perceptron-mk1.5 vs muse-spark-1.3 vs gpt-6-luna-pro
AttributeAura-2aura-2Perceptron Mk1.5perceptron-mk1.5Muse Spark 1.3muse-spark-1.3GPT-6 Luna Progpt-6-luna-pro
Pricing
Input$0 / 1M$0.15 / 1M$1.25 / 1M$0.10 / 1M
Output$0 / 1M$1.50 / 1M$4.25 / 1M$0.50 / 1M
Cache Write (5m)Not applicable$0.15 / 1M$1.25 / 1M$0.10 / 1M
Cache Write (1h)Not applicable$0.15 / 1M$1.25 / 1M$0.10 / 1M
Cache ReadNot applicable$0.15 / 1M$1.25 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A36.9K1M1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesYes
Function CallingNoNoYesYes
JSON ModeNoNoYesYes
StreamingNoYesYesYes
Catalogue
ProviderDeepgramPerceptronMetaOpenAI
Categoryvoicechatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-162026-09-25——
Description
SummaryDeepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.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.GPT-6 Luna Pro uses the same underlying model as GPT-6 Luna, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. It combines Luna's speed and cost efficiency with deeper reasoning and more reliable multi-step execution, making it well suited for advanced coding, computer use, and agentic workflows where higher solution quality is needed without moving to a larger GPT-6 tier.