Pelicans for GPT-6.1 Terra: https://tools.simonwillison.net/markdown-svg-renderer?url=ht...
Interesting that both "none" and "low" reasoning levels appeared not to spend any reasoning tokens at all, and in fact low ended up using less tokens and costing less than none here.
"medium" did use 496 reasoning tokens, but that's apparently not enough here to return a visible reasoning trace.
OpenAI's current frontier model lineup is gpt-6-astra, gpt-6.1-sol, gpt-6.1-terra, gpt-6-luna, so here's a comparison grid of all of their pelicans at different reasoning levels: https://static.simonwillison.net/static/2026/openai-pelicans...
I just got GGUF Q4 XL Qwen Flash Next 3.8 working on my V100 engine: https://stealthgoat.com/fnfl/pelicans.html
4 pelicans at once!
What's the point of using it without reasoning? Isn't that what Luna's for?
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I appreciate that most of these pelicans are not holding the handlebars, i think that's more realistic than the alternative
Do you have an agent scanning the front page waiting to post the pelicans?
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I can literally see what the training data sample looked like that they included, so it performs well on this benchmark.
12 seconds for a pelican on low. Pretty good.