[R] Which LLMs are actually best for bleeding-edge Linux/ML debugging workflows in 2026? [R]

I’m trying to optimize an AI workflow for bleeding-edge Linux/ML debugging (Arch/CachyOS, CUDA, Python, unsloth, etc.). Current stack: - Claude = deep reasoning/mastermind - Gemini 3.1 Pro = execution/logistics - Perplexity = retrieval Main problem: Gemini often gives high-friction or impractical fixes and degrades badly in long troubleshooting sessions. Example: suggested a long Podman workflow for an unsloth/Python issue where micromamba solved it much faster. I also have access to hosted open models: - Qwen 3 Coder 30B - Qwen 3.5 122B - Mistral Large 675B - DeepSeek R1 Distill 70B etc.