Fast mode costs 2.5× more usage
Fast mode multiplies token usage by 2.5×, meaning a single prompt that might use 10–15% of a 5-hour window with Fast off can hit 40% with it on.
Snapshot · Nerd Snipe with Theo and Ben
5 different models dropped last week & the GPT-5.6 usage limits are brutal
Explore episode
Jul 14, 2026
Where this was said
GPT-5.6 Sol, Terra, and Luna: What Each Model Is Actually For
At 1:06:17 · chapter starts 1:01:00
This chapter makes the clearest practical distinctions between OpenAI's three new models. Luna, far from being a small subagent model, is ideally suited for code-level API calls where you're programmatically triggering an LLM for classification, title generation, or permission gating — not as a step in an agentic chain but as a function call in your own code. Terra is largely the forgotten child: both hosts admit they've barely used it and nobody online is talking about it, despite the intent to give it better branding than the old 'mini' and 'nano' naming. The core critique is that dropping all three simultaneously meant Sol consumed all the attention while the others got buried. The Rottweiler analogy crystallizes Sol's character: it will grab a task and never let go unless you write a stopping condition into the prompt.
5.6 Sol can use 10–15% of window per message
Unlike GPT-5.5 which capped at ~2% of a 5-hour usage window per message, GPT-5.6 Sol can consume 10–15% in a single message due to its ability to run much longer without stopping.
Similar snapshots
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