
“GPT-6.1 Sol nearly matches the no-CoT performance of GPT-6 Astra and is likely a looped transformer” by Rauno Arike
Om avsnittet
Summary
I ran GPT-6 Sol and GPT-6.1 Sol on the task suite from Think Fast. Surprisingly, 6.1 Sol performs substantially better than 6 Sol, almost matching the performance of GPT-6 Astra. The plot below gives a quick overview of the results:
Measured by mean accuracy across the 27 tasks, GPT-6.1 Sol closes 80% (95% CI: 72–87%) of the gap between GPT-6 Sol and GPT-6 Astra, and is closer to Astra than to GPT-6 Sol on 24 of 27 tasks.
The likely reason behind this gap is that, like GPT-6 Astra and unlike GPT-6 Sol, GPT-6.1 Sol is a looped transformer. After providing a more detailed overview of the benchmark scores, I'll briefly discuss the evidence for this, as well as the implications.
Detailed results
Similarly to Astra, GPT-6.1 Sol saturates many of the benchmarks in the task suite, rendering the time horizon estimates highly uncertain. For this reason, I mainly focus on per-benchmark performance, which already provides a sufficient demonstration of the gap between 6 Sol and 6.1 Sol on its own. The time horizon estimates were 4.0 minutes for GPT-6 Sol (bootstrap median 3.8 min, 95% CI [1.2 min, 20 min]) and 35 minutes for GPT-6.1 Sol (bootstrap [...]
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Outline:
(00:15) Summary
(01:27) Detailed results
(04:26) What caused the jump?
(05:41) Appendix: Full per-task results
(05:46) GPT-6 Sol: per-benchmark 50% no-CoT time horizons
(06:12) GPT-6.1 Sol: per-benchmark 50% no-CoT time horizons
(06:37) Appendix: Logistic fits
The original text contained 4 footnotes which were omitted from this narration.
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First published:
September 30th, 2026
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Narrated by TYPE III AUDIO.
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