alt Hacker News> GPT-Rosalind-6 uses the same weights as GPT-6 Astra, our flagship reasoning model.
Didn’t Sol-6.1 top Astra? Or is it maybe that Astra is still a larger model and therefore can comprehend deeper complexity better in the long run?
Replies
pizza234 • today at 4:53 PM
> Didn’t Sol-6.1 top Astra
No, Astra is still smarter (https://artificialanalysis.ai/models/?models=gpt-6-astra%2Cg...).
kingkongjaffa • today at 4:37 PM
I thought the same.
My assumption is Astra is the biggest model in terms of param size and has the most intellectual horsepower.
But Sol-6.1 is more instruction tuned to perform better on the average use cases for most users, so it benchmarks better and feels better to use.
Starlevel004 • today at 4:50 PM
It's widely suspected that sol 6.1 is a slightly detuned version of astra 6
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> Didn’t Sol-6.1 top Astra?
On specific coding skewed benchmarks yes.
But Astra is in a different league when it comes to doing research and investigative tasks that require exploration.
For my usecases, Astra is pareto frontier - it dominates Fable 5.1 on cost. Fable 5.1 is a phenomenal model but Astra is cheaper and uses way less tokens and steps to produce similar output.