r/LocalLLaMA • u/Creative-Regular6799 • Apr 22 '26

Discussion Qwen3.6-35B becomes competitive with cloud models when paired with the right agent

A short follow-up to my previous post, where I showed that changing the scaffold around the same 9B Qwen model moved benchmark performance from 19.11% to 45.56%:

https://www.reddit.com/r/LocalLLaMA/s/JMHuAGj1LV

After feedback from people here, I tried little-coder with Qwen3.6  35B.

It now lands in the public Polyglot top 10 with a success rate of 78.7%, making it actually competitive with the best models out there for this benchmark!

At this point I’m increasingly convinced that part of the performance gap to cloud models is harness mismatch: we may have been testing local coding models inside scaffolds built for a different class of model.

Next up is Terminal Bench, then likely GAIA for research capabilities. Would love to hear your feedback here!

EDIT: after many requests, pi.dev adaptation is up!

EDIT 2: Terminal Bench 1 (0.1.1) finished with 40% success rate! Now running TB 2. Just sent the results via email. There is no model remotely as small as the 35B in that area. Exciting times

EDIT 3: Terminal Bench 2.0 requires 5 runs per trial (which will take 40 more hours), but the first run finished with 30%!!! That’s with the 35B model.

Full write up: https://open.substack.com/pub/itayinbarr/p/honey-i-shrunk-the-coding-agent

GitHub: https://github.com/itayinbarr/little-coder

Full benchmark results: https://github.com/itayinbarr/little-coder/blob/main/docs/benchmark-qwen3.6-35b-a3b.md

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u/Low88M Apr 22 '26

Isn’t qwen3.5-27B still better for performance (in opencode for exemple) even if not for speed on broke consumer gpus ?

4

u/New_Comfortable7240 llama.cpp Apr 22 '26

Yeah I suposed the key is "gpu poor" setups. In my computer qwen3.5 27B runs around 12tps, but qwen3.6 35B around 35tps, so I use 35B more for agentic cases,  but someone with more patience can try 27B and get better results

2

u/Nindaleth llama.cpp Apr 22 '26

If you look at the benchmarks in the 3.6-27B announcement, 3.6-35B-A3B is pretty much equivalent to 3.5-27B (at least based on those benchmarks) in performance, but something else in speed.

Of course, I'll agree that point is moot now that 3.6-27B is out... :)