Summary
A user on r/LocalLLaMA reported surprising benchmark results, finding that the older Qwen3-code-next model is outperforming the newer Qwen3.5-35B-A3b in tool calling. This was observed using the Continue extension in VS Code, with the older model succeeding despite more aggressive quantization. The finding challenges the assumption that newer models are always superior, especially for specific tasks.
Continue Reading
Explore related coverage about community news and adjacent AI developments: [r/ML] [D] MYTHOS-INVERSION STRUCTURAL AUDIT, [r/LocalLLaMA] karpathy / autoresearch, [r/ML] [R] Agentic AI and Occupational Displacement: A Multi-Regional Task Exposure Analysis (236 occupations, 5 US metros), [r/ML] Building behavioural response models of public figures using Brain scan data (Predict their next move using psychological modelling) [P].
Related Articles
- [r/ML] [D] MYTHOS-INVERSION STRUCTURAL AUDIT
March 29, 2026
- [r/LocalLLaMA] karpathy / autoresearch
March 10, 2026
- [r/ML] [R] Agentic AI and Occupational Displacement: A Multi-Regional Task Exposure Analysis (236 occupations, 5 US metros)
April 7, 2026
- [r/ML] Building behavioural response models of public figures using Brain scan data (Predict their next move using psychological modelling) [P]
April 5, 2026
Comments
Sign in to leave a comment.