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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 LunaOpenAIRemove
muse-spark-1.3 vs mai-ds-r1:free vs gpt-6-luna
AttributeMuse Spark 1.3muse-spark-1.3mai-ds-r1:freeNot in the catalogueGPT-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 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 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.