GPT-5.6 Sol (max)

Based on the available evidence, GPT-5.6 Sol (max) is best treated as a test candidate for hard tasks, not yet as a fully validated default workhorse. Adoption should be conservative: if you are already comparing premium reasoning models, can accept higher token burn for a higher ceiling, and tolerate some speed or stability variance, it is worth evaluating. If you care more about predictable cost, steady output, and low-risk automation, the current evidence is still too limited to justify broad default rollout.

Its practical value appears strongest in complex coding, long-horizon planning, and chaining external tools or agents into finished outputs. Evidence includes Blender MCP experiments, walk-animation tests, a working addon, a knowledge-graph “second brain,” and research/account-analysis loops, plus positive reports of getting a usable MVP in one shot. But popularity proof is not usability proof: repost-heavy X threads, hidden-mode enablement tips, and hype-driven praise mainly show attention.