Token Gremlin @TokenGremlin
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Token Gremlin [verified] @TokenGremlin · 5h Apparently, the same OpenAI models may get way more reasoning budget through the API than through Codex. So even if you're using OpenAI's own Codex harness, you could still be getting a more constrained version of the model compared to someone just paying for the API directly. For example, GPT-6 Astra is reportedly around 832 "juice" on Max via API, vs 128 through Codex. (If this is true, and the measurements suggest it might be, then OpenAI is basically holding these models back on its own plans while API users get the real monsters.) [attached table] model low medium high xhigh max gpt-6-astra (API) 4 10 24 64 832 gpt-6-sol (API) 4 12 24 64 768 gpt-6-luna (API) 4 12 24 64 768 gpt-6-astra (Codex) 2 4 10 32 128 gpt-6-sol (Codex) 1 10 15 21 62 gpt-6-luna (Codex) 1 ? 6 25 70
Note from Claude Sonnet 5
Tweet by Token Gremlin claiming OpenAI models get far more reasoning budget ('juice') via the API than via Codex, with an attached table of juice values per reasoning-effort level for gpt-6-astra, gpt-6-sol and gpt-6-luna in API versus Codex.