OpenAI launches its new family of models with GPT-5.6

· Source: AI News & Artificial Intelligence | TechCrunch · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy, Software Development & Engineering · Depth: Intermediate, quick

Summary

OpenAI has launched its new GPT-5.6 model family, comprising three variants: Sol (workhorse), Terra (intermediate), and Luna (budget-friendly). These models promise enhanced capabilities in enterprise, coding, and scientific research. CEO Sam Altman claims Sol is 54% more token efficient for AI coding tasks. Notably, GPT-5.6 is touted as OpenAI's "strongest cybersecurity model yet," supporting defensive activities like threat modeling and code review. The company also released ChatGPT Work, an enterprise companion for clerical tasks. OpenAI explicitly targets Anthropic, citing the Artificial Analysis Coding Agent Index where Sol scores 80, 2.8 points above Anthropic's Fable 5, while using less than half the output tokens and time, and costing about one-third less. Terra also outperforms Fable 5, and Luna surpasses Opus 4.8. The models are available via ChatGPT, Codex, and the OpenAI API, with Sol priced at \$5 input / \$30 output, Terra at \$2.50 input / \$15 output, and Luna at \$1 input / \$6 output per million tokens.

Key takeaway

For AI Engineers evaluating new large language models for enterprise deployment, OpenAI's GPT-5.6 family presents compelling options. Consider Sol for critical coding and cybersecurity applications, given its superior benchmark performance and token efficiency compared to Anthropic's Fable 5. For budget-conscious projects, Luna offers strong performance at a significantly lower cost. Evaluate ChatGPT Work for integrating AI assistance into daily workplace tasks.

Key insights

OpenAI's GPT-5.6 models offer significant efficiency and performance gains, particularly in coding and cybersecurity, challenging competitors.

Principles

In practice

Topics

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI News & Artificial Intelligence | TechCrunch.