Wow, those are seriously impressive numbers for how intelligent this model seems to be!
One thing that this article doesn't clarify, and that I guess I really should look into, is what exactly AutomationBench tests for as compared to other benchmarks. The standout performance on AutomationBench is interesting to see, but I don't know what it really means because the model seems to score relatively close to other local models on every other benchmark.
It's possible that they may have generally capped out for some reason... but, I'd rather be bullish on a new American AI lab making it to first place among western open-weight models that can run on a common consumer device. (Closest in size that's better across that range of benchmarks is Inkling-Small I think, at 276B params, unless I'm forgetting someone.)
If Qwen had released a Qwen3.8 MoE of similar size, with a naive extrapolation its capabilities would roughly be similar to this model. So basically someone has caught up to Qwen (albeit Qwen from 1-2 months ago) in parameter efficiency.
At least for my use cases, Qwen 3.6 35B-A3B appears better than this new release. An MoE for Qwen 3.8 would be even better than that!
very nice.
I can't speak to the intelligence of it yet.
these small agentic-focused models are a lot of fun to play with if you haven't yet.
That seems pretty decent. How many tokens/s do you need for a coding agent to feel like Claude or codex?
it's kind of a loaded question, this model gets a lot of tok/s but reasoning is forced on; the time-to-answer is really a combination of things like "how much does this thing want to over-reason" and "how much does this thing like tool use?" .
When running locally usually I have to trade off speed for a better model. I can run decently big models at about 2tk/s, or a pretty dumb one at 40-100tk/s
but i'm prepared to be surprised, maybe they'll conjure up something standalone useful this time
the results i've gotten so far have been a little braindead though. still playing around. bad luck with traversing filesystems remotely so far.
it seems to want to make concluding decisions very fast regardless of reasoning levels.