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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. GPT-6 LunaOpenAIRemove
  3. Aura-2DeepgramRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs gpt-6-luna vs aura-2 vs perceptron-mk1.5
AttributeMuse Spark 1.3muse-spark-1.3GPT-6 Lunagpt-6-lunaAura-2aura-2Perceptron Mk1.5perceptron-mk1.5
Pricing
Input$1.25 / 1M$0.10 / 1M$0 / 1M$0.15 / 1M
Output$4.25 / 1M$0.50 / 1M$0 / 1M$1.50 / 1M
Cache Write (5m)$1.25 / 1M$0.10 / 1MNot applicable$0.15 / 1M
Cache Write (1h)$1.25 / 1M$0.10 / 1MNot applicable$0.15 / 1M
Cache Read$1.25 / 1M$0.10 / 1MNot applicable$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1.1MN/A36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoNo
Function CallingYesYesNoNo
JSON ModeYesYesNoNo
StreamingYesYesNoYes
Catalogue
ProviderMetaOpenAIDeepgramPerceptron
Categorychatchatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released——2026-07-162026-09-25
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.GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.Deepgram 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.