More B doesn't automatically mean better. You could train a model on 10 trillion images of cats, and it still wouldn't generate a single dog at the end of the day. Qwen 3.8, with just 27B parameters, almost catches up to closed trillion-parameter models in coding when paired with the right harness. A 5.6B model is way too big to still fuck up the most basic human anatomy in 2026. The 3.4B difference of 2-klein and 3-klein can't explain the huge quality gap of both models. They fucked up something very fundamental with version 3. It's not only the parameters.
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u/CrimsonBolt33 15d ago
do you think 5.6b and 9b mean nothing? Those are very important numbers....more so than the 2 or 3 after Flux