OpenAI reduces Codex Model Context Size from 372k to 272k
github.com
July 19, 2026
1 min read
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64/100
Summary
Backporting refreshed bundled model metadata to version 0.144 is proposed in a pull request. Suggestions cannot be applied while the pull request is closed, and multiple suggestions cannot be batched if they involve deleted lines or subsets of changes.
Key Takeaways
- Suggestions cannot be applied while the pull request is closed.
- Only one suggestion per line can be applied in a batch.
- Applying suggestions on deleted lines is not supported.
- Outdated suggestions cannot be applied.
Community Sentiment
Positives
- Some users believe that smaller context sizes can lead to better quality responses, suggesting that LLMs get dumber as context stretches too far.
- One commenter feels that Codex performs well enough without issues related to context size, indicating improvements in the model's handling of larger projects.
Concerns
- Many commenters are frustrated with the reduced context size, arguing that the compaction process results in lost detail and negatively impacts their workflow.
- The inability to disable auto-compaction is a major sticking point, with users claiming it leads to hallucinations and unfinished tasks when the context window shrinks unexpectedly.
- A frequent sentiment is that the context size reduction feels like a cost-saving measure rather than a genuine improvement, leaving users concerned about its practical implications.