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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. GPT-6 LunaOpenAIRemove
  3. Muse Spark 1.3MetaRemove
mai-ds-r1:free vs gpt-6-luna vs muse-spark-1.3
Attributemai-ds-r1:freeNot in the catalogueGPT-6 Lunagpt-6-lunaMuse Spark 1.3muse-spark-1.3
Pricing
Input—$0.10 / 1M$1.25 / 1M
Output—$0.50 / 1M$4.25 / 1M
Cache Write (5m)—$0.10 / 1M$1.25 / 1M
Cache Write (1h)—$0.10 / 1M$1.25 / 1M
Cache Read—$0.10 / 1M$1.25 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max context—1.1M1M
Max output—N/AN/A
Capabilities
Vision—YesYes
Function Calling—YesYes
JSON Mode—YesYes
Streaming—YesYes
Catalogue
Provider—OpenAIMeta
Category—chatchat
Charge type—Pay As You GoPay As You Go
Released———
Description
Summary—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.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.