OpenAI's GPT-5.6 launches Thursday after a delay forced by the U.S. government
Quick Answer
OpenAI's GPT-5.6 models launch on Thursday after a delay due to U.S.
Quick Take
OpenAI's GPT-5.6 models launch on Thursday after a delay due to U.S. government restrictions. The Sol Ultra model achieved a leading 91.9% on the TerminalBench 2.1 coding benchmark, outperforming competitors like Anthropic's Claude Mythos 5 and Google's Gemini 3.1 Pro Preview. OpenAI criticized the delay for hindering developer access to advanced tools.
Key Points
- GPT-5.6 models were initially restricted under U.S. government pressure.
- Sol Ultra scored 91.9% on TerminalBench 2.1, outperforming competitors.
- Sol costs $5/$30 per million tokens, significantly cheaper than Anthropic's Fable 5.
- OpenAI criticized the government hold for limiting developer access to tools.
- No binding standards for AI model releases currently exist.
📖 Reader Mode
~1 min read
Jul 8, 2026
OpenAI's GPT-5.6 models ship Thursday. Unveiled in late June, they were initially restricted to select partners under U.S. government pressure. The Department of Commerce approved the public launch after the Center for AI Standards and Innovation ran additional tests, Axios reported. OpenAI openly criticized the hold, saying it kept the best tools away from developers and companies. Binding standards for releasing such models, as called for in Trump's latest AI executive order, still don't exist.
OpenAI says Sol beats Anthropic's Claude Mythos 5 on several benchmarks. On TerminalBench 2.1, Sol scored 88.8 percent, Sol Ultra hit 91.9 percent, and Mythos 5 landed at 88 percent. On cybersecurity tasks, Sol matched Mythos 5 but used only a third of the tokens. Sol costs $5/$30 per million input/output tokens. Anthropic's Fable 5 runs nearly double at $10/$50 and likely burns through more tokens too.
— Originally published at the-decoder.com
Want this in your inbox every morning?
Daily brief at your local 8am — bilingual EN/中文, free.
More from The Decoder
See more →
An AI model programmed nonstop for 19 days on a single MirrorCode task that cost $2,600 to run
Epoch AI's MirrorCode benchmark reveals Claude Opus 4.7 as the leader with a 56% solve rate, reconstructing a 16,000-line toolkit in 14 hours. Despite this, all models tested struggle with the most complex tasks, highlighting limitations in current AI capabilities. The single task consumed $2,600 over 19 days, raising questions about cost-effectiveness in AI development.
