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GPT-6 Sol and Luna: New OpenAI Models in NeuralSpace

Light futuristic studio with golden Sol and silver Luna spheres in an AI space

The GPT-6 family in NeuralSpace has been expanded with two powerful new additions: GPT-6 Sol and GPT-6 Luna are now available in both Chat and Code. They offer developers and creators clear choices tailored to distinct computational needs.

Minimalist illustration of modern language model architecture and multi-step algorithms

Meet GPT-6 Sol and GPT-6 Luna

The new models bring specialized capabilities designed for modern AI workflows:

  • GPT-6 Sol is engineered for tasks requiring deep reasoning, detailed implementation, and multi-step coordination. It excels at investigating intricate software bugs, designing complex architectures, and powering autonomous agent pipelines.
  • GPT-6 Luna focuses on rapid execution and outstanding cost efficiency. It is optimized for focused, repeatable tasks, large-scale content processing, and interactive iterations where low latency is critical.

Model Hierarchy by Intelligence

To help you pick the right tool for the job, models are arranged by ascending reasoning capacity:

  • In Chat: GPT-5.4 Mini → GPT-6 Luna → GPT-5.6 Terra → GPT-6 Sol → GPT-6 Astra. Choose the exact depth of reasoning needed for each conversation.
  • In Code: GPT-6 Luna → GPT-5.6 Terra → GPT-6 Sol → GPT-6 Astra. Seamlessly scale from quick helper snippets to full-scale codebase refactoring.

How to Start Working with Sol & Luna

  1. Interactive Chat: open Chat, select GPT-6 Sol or Luna from the model dropdown, and prompt with reasoning effort controls and web search enabled.
  2. Full-Stack Coding: head over to Code to generate project scaffolding, fix errors, and build complete web applications.
  3. Developer API & MCP: call the models via standard /v1/chat/completions endpoints or the NeuralSpace MCP server. Legacy aliases remain fully supported for seamless compatibility.

Token Optimization for Projects

By combining Sol and Luna in your pipeline, you can drastically reduce operational costs: route repetitive data extraction and drafting to Luna, and reserve Sol for critical verification and deep analytical work.