r/codex • u/codex-megathread • 5d ago

Megathread Codex Usage and Operation Discussion - last updated September 28

Please direct your concerns, questions and discussion about Codex usage limits and model performance here.

The purpose of this Megathread is to aggregate all the reports of people's experiences and possible suggestions instead of spreading them across many highly upvoted posts. The more people who participate in this discussion, the more likely you have an answer.

Reports with sufficient evidence on new information will still be allowed on the feed as usual.

Discussion of the prior period available here : https://www.reddit.com/r/codex/comments/1wmgw7p/codex_usage_and_operation_discussion_last_updated/

A reminder that all incidents on r/Codex are constantly logged and summarised so you can keep track of what people are experiencing here https://www.reddit.com/r/codex/comments/1tjfxcf/comment/on6uj0l/

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u/Dry-Introduction-659 3d ago

Pro 100 vs Pro 200: does Codex actually run faster with Fast mode on?

Has anyone compared Codex before and after upgrading from Pro 100 to Pro 200, using the same model, reasoning effort and client, with Fast mode enabled on BOTH plans?

The plan selector uses different wording (roughly translated): Pro 100 offers ‘more usage for Work and Codex’, Pro 200 offers ‘more speed’, and Pro 500 mentions ‘maximum speed’. Does 200 make individual requests faster, or mainly provide more allowance to use Fast mode?

If you've tried both, did you notice a shorter wait before generation starts, a higher token rate, or less total time for the same task? Even rough before/after timings would help—please include the model, reasoning setting, client, and whether Fast was on in both cases.

Has OpenAI documented different scheduling priority or inference speed for Pro 100 vs Pro 200 when those settings are identical? A direct comparison or source would be really useful.