Anyone evaluated the difference between Qwen Code for the local qwen models vs another harness? CC, OC, LC, Aider etc..
Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.
For me, opencode doing fantastically but was wondering if qwen code would be more native and have better functionality, since idk which agentic harness they used to get their benchmark results
[link] [comments]
More from r/LocalLLaMA
-
How small can the orchestration model in an agent be? (separating it from code-gen — that obviously wants a big model)
May 22
-
BeeLlama v0.2.0 – major DFlash update. Single RTX 3090: Qwen 3.6 27B up to 164 tps (4.40x), Gemma 4 31B up to 177.8 tps (4.93x). Prompt processing speed near baseline.
May 22
-
trained a prompt injection detector using ml-intern and DeepSeek v4 Flash, runs in the browser
May 22
-
ByteShape Qwen3.6-35B-A3B: 30% faster than Unsloth IQ on 6GB VRAM laptop
May 22
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.