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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. Muse Spark 1.3MetaRemove
  2. mai-ds-r1:freeNot in the catalogueRemove
  3. GPT-6 Luna ProOpenAIRemove
muse-spark-1.3 vs mai-ds-r1:free vs gpt-6-luna-pro
AttributeMuse Spark 1.3muse-spark-1.3mai-ds-r1:freeNot in the catalogueGPT-6 Luna Progpt-6-luna-pro
Pricing
Input$1.25 / 1M—$0.10 / 1M
Output$4.25 / 1M—$0.50 / 1M
Cache Write (5m)$1.25 / 1M—$0.10 / 1M
Cache Write (1h)$1.25 / 1M—$0.10 / 1M
Cache Read$1.25 / 1M—$0.10 / 1M
Web Search$0 / 1M—$0 / 1M
Context
Max context1M—1.1M
Max outputN/A—N/A
Capabilities
VisionYes—Yes
Function CallingYes—Yes
JSON ModeYes—Yes
StreamingYes—Yes
Catalogue
ProviderMeta—OpenAI
Categorychat—chat
Charge typePay As You Go—Pay As You Go
Released———
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 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.