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NIST has named the top U.S. models in their (full) report: https://www.nist.gov/system/files/documents/2026/07/17/CAISI...

Spoiler: it’s OpenAI’s GPT-5.5 and Anthropic’s Mythos Preview [**].

[**] Reminder that Mythos Preview is a very different beast from Fable5, Mythos5, and Opus5. Unfortunately, anyone outside Project Glasswing will probably never get to test what this model can actually do, which is a shame, and it’s a big part of why the industry is so skeptical of the capabilities insiders keep claiming it has. I’d be skeptical too if I hadn’t tested it myself.

We lost access to Mythos Preview when Anthropic forced us onto Mythos 5 some weeks ago, which is garbage by comparison. I’ve already switched to GPT-5.5 and I’m working on adapting my harness(es) to less restrictive open-weight models. I don’t see any other way forward at this point.

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What is the rationale for gpt-5.5 when gpt-5.6-sol exists?
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I find 5.6-sol quite good for coding, but for legal work it has a bias favouring big corporations - it tends to weaken your arguments and make document legally unsafe. 5.5 was much better.
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Check out the "Completed steps on..." graph in this [1] evaluation.

That graph gives a good perspective of what models they've tested, and roughly what "subject" each step covers. It is on that task that they note this:

> Kimi K3 reaches step 17 on average, compared with step 11 for GLM-5.2.

[1] - https://www.aisi.gov.uk/blog/our-evaluation-of-openais-gpt-5...

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