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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. mai-ds-r1:freeNot in the catalogueRemove
  2. Muse Spark 1.3MetaRemove
  3. GPT-6 LunaOpenAIRemove
mai-ds-r1:free vs muse-spark-1.3 vs gpt-6-luna
Attributemai-ds-r1:freeNot in the catalogueMuse Spark 1.3muse-spark-1.3GPT-6 Lunagpt-6-luna
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 context—1M1.1M
Max output—N/AN/A
Capabilities
Vision—YesYes
Function Calling—YesYes
JSON Mode—YesYes
Streaming—YesYes
Catalogue
Provider—MetaOpenAI
Category—chatchat
Charge type—Pay As You GoPay As You Go
Released———
Description
Summary—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 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.