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OpenAI AMA: Reddit summary about new ChatGPT and GPT-5.6

OpenAI's Codex team revealed during a Reddit AMA on July 10 that Codex now has over five million weekly users, doubling in three months, and shipped 150 features in that period. The team recommended GPT-5.6 Sol at Medium reasoning for most coding tasks, with Sol Ultra for high-stakes work, and disclosed that a Cerebras-backed configuration targeting 750 tokens per second is in development. Early reactions are mixed, with some praising Sol Medium's speed while others find the model selection confusing.

read2 min views1 publishedJul 11, 2026
OpenAI AMA: Reddit summary about new  ChatGPT and GPT-5.6
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OpenAI’s Codex team has disclosed new operating guidance for GPT-5.6 and Codex during a Reddit AMA held on July 10, alongside confirmation that Codex now reaches more than five million weekly users. That figure has doubled in three months, while the team says it shipped 150 features and product changes during the same period.

For most coding work, OpenAI recommends GPT-5.6 Sol at Medium reasoning. Sol Ultra is positioned for migrations, security-sensitive changes, production incidents, and other tasks where mistakes are costly. Terra is intended for faster or usage-conscious work, while Luna is suited to lightweight operations and subagents. There is no automatic model router yet, although the new reasoning slider can fall back to Terra at its lowest setting. The team said Sol is its strongest option for interface work, especially when reference images are supplied. Sol Medium is also described as faster than GPT-5.5 for many tasks, while Fast mode runs at roughly 1.5 times the normal speed. OpenAI is preparing a Cerebras-backed configuration targeting about 750 tokens per second, but has made no commitment to a one-million-token context window for Sol.

Codex users were also advised to give agents bounded goals, require tests after each attempt, and use the “/goal” command for longer investigations. OpenAI acknowledged that models can abandon patches too quickly when results are imperfect. Greater persistence and lower code complexity are now listed as areas for further work.

Agentic usage is counted by the feature being used rather than the device or interface. Codex in the desktop app, CLI, IDE, web, and mobile draws from the same agentic allowance as ChatGPT Work, while standard ChatGPT conversations use a separate allocation. OpenAI said task cost can vary sharply depending on repository size, reasoning depth, and execution time, and that it is working on clearer usage reporting.

The company also addressed criticism of the merged ChatGPT desktop app. ChatGPT Classic and the new app can run side by side for now, while fixes are being applied to browser control, stuck threads, connection failures, packaging, and resource usage. Windows parity is receiving additional attention, and a Linux desktop app is under development, with no public timeline.

Early reactions remain mixed. Simon Willison said Sol Medium may become his default for coding, while also describing the selection of models and reasoning as confusing. Ethan Mollick questioned whether ChatGPT Work has a clear role beside Codex, reflecting continued uncertainty about how OpenAI is separating its general-purpose agent from its developer-focused workspace.

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