# Qwen3.6-35B base outperforms most fine‑tunes in Reddit benchmark

> A Reddit user compared the Qwen3.6-35B model and five fine‑tuned variants on a coding benchmark, finding the base model generally superior and only Occamy‑1.0 close.

Oossa · 2026-09-28 · https://oossa.com/en/qwen3-6-35b-base-outperforms-most-fine-tunes-in-reddit-benchmark

On Sep 28 2026 a Reddit user posted results comparing the Qwen3.6-35B-A3B base model with five fine‑tuned variants using the Aider Polyglot coding benchmark. The base model achieved a 37.4 % first‑try pass rate and 71.0 % retry pass rate, beating most fine‑tunes.

Only the Occamy‑1.0 fine‑tune came close, with 29.0 % first‑try and 70.1 % retry, while Ornith‑1.5, KAT‑Coder, Tiel‑Coder and Nex‑N2.5 fell well behind. Token usage and solve time were also lower for the base model, suggesting it remains the best choice for most users.

## The facts

- Test posted Sep 28 2026 on r/LocalLLaMA
- Qwen3.6-35B base achieved 37.4 % first‑try pass rate, highest among tested models

## Why it matters

It shows that, for now, using the unmodified Qwen3.6-35B gives better coding performance than most community fine‑tunes, saving users from unnecessary model switching.

## Sources & references

1. [Searching for 3.8 35B: Qwen3.6-35B-A3B (Testing 5 Finetunes vs. Base)](https://www.reddit.com/r/LocalLLaMA/comments/1wss436/searching_for_38_35b_qwen3635ba3b_testing_5/) – Reddit r/LocalLLaMA, 2026-09-28

Last updated: 2026-09-28