Sol 5.6 Long Context Performance is Exceptional
JayB_Official · reddit · 2026-07-11
The author tested Sol 5.6's long context capabilities by feeding it three large documents simultaneously: a completed book, its unfinished sequel, and an actively maintained worldbuilding lore bible, totaling over 300,000 words.
The model was tasked to:
- Read through all the documents
- Cross-reference events across Book 1, Book 2, and the lore bible
- Identify even the slightest inconsistencies
- Spot repetitive phrasing, dialogue, and redundant chapter transitions
After spending roughly 18 minutes parsing the inputs, the model generated a highly detailed list of revision suggestions. It successfully caught numerous subtle plot and prose issues without missing any key information. The author then delegated these revisions to a ChatGPT agent to execute directly in Google Drive, which worked flawlessly. Describing the experience as closer to a "GPT 6" leap rather than a standard version bump, the author asked the community for their own observations on its improvements or regressions.
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