Muse connects GPT-5.6 models to your personal AI assistant, so GPT-5.6 Sol, GPT-5.6 Terra, and GPT-5.6 Luna can help turn connected context into research, slides, reports, documents, and real work outcomes—with your permission.
Try these
GPT-5.6 brings frontier models into practical work
Sol, Terra, and Luna give Muse a flexible model family for deep reasoning, balanced everyday work, and fast high-volume execution.
Flagship
Sol for demanding professional work
GPT-5.6 Sol is positioned as the flagship model in the family, designed for complex coding, knowledge work, research, cybersecurity, science, computer use, and design judgment. In Muse, it is best used when a task needs deeper reasoning and careful output quality.
Balanced
Terra for balanced everyday workflows
GPT-5.6 Terra is described as a balanced model for everyday work, offering a practical mix of capability, speed, and cost. In Muse, Terra can support recurring work such as meeting briefs, document drafts, file summaries, and project updates.
Fast
Luna for fast, scalable task handling
GPT-5.6 Luna is described as the fastest and lowest-cost model in the GPT-5.6 family. In Muse, Luna is useful for lighter, high-volume tasks such as summarization, extraction, triage, and repeated workflow steps.
Muse workflow
From model output to finished deliverables
Muse is not just a place to chat with a model. It connects model capability with your chosen context, your preferences, and Muse skills for creating slides, reports, documents, websites, images, research briefs, and structured files.
Three GPT-5.6 tiers, three ways to move work forward
Muse can route tasks conceptually across Sol, Terra, and Luna depending on depth, speed, and workflow needs.
GPT-5.6 Sol
Deep work and expert-level reasoning
Use Sol when the work is complex, multi-step, or quality-sensitive: research synthesis, product strategy, software planning, analytical reports, design review, and complex document generation.
Best for
Deep research reports
Complex product strategy
Coding and technical planning
Design and interface critique
GPT-5.6 Terra
Balanced work for daily productivity
Use Terra when the task needs reliable reasoning but should still feel fast and practical: meeting prep, file summaries, weekly updates, email drafts, and operational planning.
Best for
Meeting briefs
Weekly reports
Document drafts
Project updates
GPT-5.6 Luna
Fast execution for repeated tasks
Use Luna when speed and scale matter: extracting action items, summarizing long threads, cleaning structured notes, classifying feedback, and preparing first-pass drafts.
Use this as a practical guide for choosing the right GPT-5.6 tier inside Muse workflows.
GPT-5.6 Sol
GPT-5.6 Terra
GPT-5.6 Luna
Best used in Muse for
Primary role
Flagship model for the most demanding work
Balanced model for everyday work
Fast model for scalable tasks
Match the model tier to the complexity and urgency of the deliverable.
Reasoning depth
Best fit for deep reasoning, coding, research, and complex analysis
Balanced capability and efficiency
Prioritizes speed and cost
Use Sol for strategy, technical planning, and high-stakes reports; Terra or Luna for recurring workflows.
Knowledge work outputs
Strong fit for polished documents, presentations, spreadsheets, and interface review
Everyday knowledge work
Lighter repeated outputs
Create decks, reports, briefs, summaries, and structured documents from connected context.
Cost and speed orientation
Highest-capability tier
Balanced tier
Fastest and lowest-cost tier
Use Luna for high-volume summarization or extraction, Terra for daily work, and Sol for complex deliverables.
Model availability, routing, and performance may depend on Muse product implementation, user plan, and connected context. This table is a practical workflow guide, not benchmark or pricing advice.
Choose a personal AI assistant, connect the tools you want Muse to use, and turn GPT-5.6 capability into research, slides, reports, documents, and real workflow outcomes.