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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 OpenMetaRemove
  3. GPT-6 LunaOpenAIRemove
mai-ds-r1:free vs muse-spark-open vs gpt-6-luna
Attributemai-ds-r1:freeNot in the catalogueMuse Spark Openmuse-spark-openGPT-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 Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential.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.