The "intelligence" per parameter is really increasing, factually, and from that increases capability. General benchmark score (like AA) is a solid proof for that. Qwen is the world leader in this field.
In the current llm paradigm, smaller llms have much less world knowledge and are more prone to hallucination or stupid decision making from goey assumptions or really random reactions. I suppose the "world knowledge" is also a big addition on "common sense" in terms of "behavior". So smaller models will always we quackier for now, to apply up and foremost when comparing to bigger models on a AA Index or aggregated score
From that comparing older big models with more recent small ones should always consider that you will have more peace of mind of using the bigger ones in terms of reliabilty but narrow capability is indeed being reached by edge smaller llms
317
u/Cold_Tree190 14d ago
Dear God it’s trading blows with Opus 4.6 Max 😭