Codex Raises Auto-Compaction Baseline and Long Context Tips
soumitrashukla9 · x · 2026-07-12
OpenAI Codex has increased its auto-compaction baseline from roughly 262K to 353K. Although GPT-5.6 currently supports a 1M context window, lengthy browser/computer automation tasks introduce massive amounts of useless accessibility tree markup. This can distract the model, worsen compaction loss, and impact accuracy.
The author suggests that for token-intensive automation tasks, you can configure modelautocompacttokenlimit=900000 to individually raise the compaction threshold for specific project folders, balancing performance and cost.
Related event: OpenAI Codex Raises Auto-Compaction Context Baseline(3 posts)→
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