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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. Perceptron Mk1.5PerceptronRemove
  4. S1Fish AudioRemove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs gpt-6-luna vs perceptron-mk1.5 vs s1
AttributeMuse Spark 1.3muse-spark-1.3GPT-6 Lunagpt-6-lunaPerceptron Mk1.5perceptron-mk1.5S1s1
Pricing
Input$1.25 / 1M$0.10 / 1M$0.15 / 1M$0 / 1M
Output$4.25 / 1M$0.50 / 1M$1.50 / 1M$0 / 1M
Cache Write (5m)$1.25 / 1M$0.10 / 1M$0.15 / 1MNot applicable
Cache Write (1h)$1.25 / 1M$0.10 / 1M$0.15 / 1MNot applicable
Cache Read$1.25 / 1M$0.10 / 1M$0.15 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1.1M36.9KN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoNo
Function CallingYesYesNoNo
JSON ModeYesYesNoNo
StreamingYesYesYesNo
Catalogue
ProviderMetaOpenAIPerceptronFish Audio
Categorychatchatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released——2026-09-252026-07-29
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.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.Perceptron 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.