Fable 5 vs. GPT-5.6 Sol on an NP-Hard Problem: Does /goal help?
Why CEREBRO kept it
Fable/GPT /goal comparison on NP-Hard problem
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Fable 5 vs. GPT-5.6 Sol on an NP-Hard Problem: Does /goal Help? TL;DR: I gave Claude Fable 5 and GPT-5.6 Sol the same unpublished NP-hard optimization problem, with and without their native /goal mode. Fable 5 is an absolute beast; /goal is not a game changer. Context: This is an operations research problem originally submitted to students at a hackathon. I spent a week years ago writing C++ to solve it, so I have a useful human baseline. Fable 5 was an absolute beast on this benchmark. It produced the best solution overall, and its consistency is unlike anything I have seen from a model on th
Community take
Single evaluation per model across a massive problem space is too noisy to draw conclusions; /goal helps in long sessions but this benchmark may be too short to demonstrate it.
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