Yes, Opus/Fable 5. If you have the opportunity, play around with it. It writes in a format that tries so hard to be concise (while blurting out a monumental essay) that you can hardly understand it, and repeats the same phrases all the time.
Sure, if you have a micro swarm architecture laid out, I would love to hear what it is.
Thank you for your opinion & recommendations. Something I saw today related to “sub-agents” is in Kimi 2.6’s model card it says
Elevated Agent Swarm: Scaling horizontally to 300 sub-agents executing 4,000 coordinated steps, K2.6 can dynamically decompose tasks into parallel, domain-specialized subtasks, delivering end-to-end outputs from documents to websites to spreadsheets in a single autonomous run.
So maybe Kimi 2.6 is doing the “type of thing” I am looking for, but I don’t have the means to run it practically. Maybe at 1 token per second which would be brutal.
I tried out Qwen 3.6 27B but not yet in an agentic setting, so I can’t really judge yet. Maybe it’s just me but the small model size seems limiting. I thought gpt-oss-120b was good.
What I have yet to learn is how much of the intelligence and accuracy comes from the model itself and how much comes from the agentic tool system. For example, my experience with ChatGPT probably would be much worse with the free version (no thinking or container).
I see Olmo by AllenAI frequently used in research. The publish all the checkpoints of training and all training sources. https://allenai.org/olmo / https://huggingface.co/collections/allenai/olmo-3
Here’s the link to the dataset used to train Olmo 3: https://huggingface.co/datasets/allenai/dolma3_mix-6T
It’s fairly modern. Olmo 3.1 was released January 2026.