Under strict US government restrictions, OpenAI releases GPT-5.6, its new generation of AI models. According to OpenAI, it can compete with Anthropic’s Mythos 5 in numerous benchmarks – and, like Mythos, it was canceled for the general public under pressure from the US government. GPT-5.6 is said to feature enhanced agentic capabilities in programming, biology and cybersecurity. The protective measures against misuse have also been improved.
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GPT-5.6 includes the balanced Terra model for everyday use, Luna, which is designed for speed and efficiency, and Sol, the most powerful flagship model. OpenAI provides results from various benchmark tests to support the strengths of GPT-5.6. In the coding benchmark Terminal-Bench 2.1, Sol and Sol Ultra overtake Mythos 5, which scores 88 percent, with results of 91.9 percent and 88.8 percent. Sol Ultra is Sol with a new feature that allows additional subagents to be added to further increase Sol’s performance.
In the biological area, OpenAI calls the benchmark GeneBench v1 and compares itself here with the previous model GPT 5.5. When using 20,000 tokens, Sol achieves around 25 percent, while with GPT-5.5 it is only 20 percent.
According to OpenAI, much lower token consumption than Myth 5
Token consumption for cybersecurity tasks should also be significantly lower. In the ExploitGym benchmark, Sol, Terra and Luna should achieve the same performance as Mythos Preview, with only around a third of the token requirement. It is not clear which Anthropic model lies behind Mythos Preview
According to OpenAI, it has also revised its protective measures against misuse. GPT‑5.6 is intended to deny prohibited cyber support, even if users try to jailbreak the model, i.e. bypassing the protective measures. Real-time classifiers are also intended to monitor the responses as GPT-5.6 generates them.
In terms of price, GPT 5.6 models are intended to undercut the competition from Anthropic: $2.50 per million input tokens and $30 for output. With the same quantity, Fable 5 and Mythos 5 both cost $10 for input tokens and $50 for output tokens.
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