OpenAI Unveils New Flagship Models - GPT-5.6 Series
OpenAI has released its latest generation of large language models, the GPT-5.6 family, which includes three variants: Luna, Terra, and Sol (scaling from smallest to largest). These models are now generally available through the OpenAI API.
The pricing structure is per 1 million input/output tokens:
- Luna: $1/$6
- Terra: $2.50/$15
- Sol: $5/$30
While price-per-token can be misleading due to varying reasoning efficiency, this provides a general comparison point.
Key Features Across All Models
All three GPT-5.6 models share these specifications:
- Knowledge cutoff: February 16, 2026
- Context window: 1 million tokens
- Maximum output: 128,000 tokens
Performance Highlights
OpenAI claims GPT-5.6 demonstrates significant improvements in long-running agentic tasks. In one benchmark using Agents’ Last Exam (evaluating professional workflows across 55 fields), Sol outperformed Anthropic’s Claude Fable 5 by a substantial margin:
- GPT-5.6 Sol: 53.6 points
- Claude Fable 5: 40.2 points
This represents an 11.4-point advantage for Sol at roughly one-quarter the estimated cost.
Notable Strengths and Limitations
While GPT-5.6 excels in agentic reasoning, early evaluations suggest a different profile for coding tasks. For example, SWE-Bench Pro showed Claude Fable 5 achieving 80% compared to Sol’s 64.6%. This may explain OpenAI’s recent publication addressing concerns about benchmark quality in code evaluation.
New API Features
The GPT-5.6 release introduces several powerful new capabilities:
- Programmatic Tool Calling: Enables models to orchestrate tool usage through JavaScript - potentially bridging the gap between simple prompts and complex CLI workflows.
- Multi-Agent Systems: Allows developers to create systems with parallel, specialized subagents for more efficient task completion.
- Prompt Cache Breakpoints: Gives users finer control over when prompts are cached (though OpenAI still supports automatic detection).
- Improved Image Processing: The
detail: originalsetting ensures images are processed at their native resolution without resizing.
These additions position GPT-5.6 as a significant step forward in AI capabilities, particularly for enterprise applications requiring complex workflows and integrations.