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Enabling the 1M-token window for GPT-5.6 Sol in Codex

Source
x.com
Date
Tibo@thsottiaux

Here is how to enable a 1M-token context window in Codex for GPT-5.6 Sol. Even though we have tuned the context limit in Codex to be set optimally when it comes to performance and cost, this is a common ask, so here it is documented. A larger context window lets Codex retain more code, tool output, and conversation history before summarizing older material. You need a model that supports it. And GPT-5.6 Sol, for example, has a documented 1,050,000-token window. Open ~/.codex/config.toml and add or update these settings at the top level, before any [section] headers: ``` model = "gpt-5.6-sol" model_context_window = 1000000 model_auto_compact_token_limit = 900000 ``` The first setting selects the model. The second tells Codex to use a one-million-token context budget. The third starts automatic history compaction around 900,000 tokens, leaving some headroom. Restart Codex client and start a new session after saving. To try the configuration for a single CLI session without changing your defaults: ``` codex -m gpt-5.6-sol \ -c model_context_window=1000000 \ -c model_auto_compact_token_limit=900000 ``` Have fun, but also know that we tuned the default carefully!

Why it matters

Shows the three config.toml keys and a CLI override to run Codex with GPT-5.6 Sol at a 1M- window, now available on ChatGPT sign-in as well as API keys. OpenAI warns the default is tuned for cost and performance.

Terms in this piece · Glossary
  • token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
  • context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
  • context compaction — Summarizing an agent's earlier conversation to free room in the context window so a long session can keep going.
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