06-22-2026, 04:25 AM
Recent test: ran Qwen3 32B Q4_K_M on an RTX 4090 (borrowed, not mine - for science).
Results: 45-50 tokens/second which is conversation-fast. Context handling is noticeably better than the 14B at complex multi-file code tasks. For pure coding questions with large context windows it's legitimately competitive with API-based models.
For the people asking "is 32B worth it over 14B" - yes for coding and reasoning tasks, less clear for general chat where 14B is already quite good.
Also tested Gemma 3 27B, which is strong for its size on multilingual tasks and instruction following. If you work in multiple languages it's worth trying.
Still on the RTX 4070 Ti day-to-day. Qwen3 14B Q6_K is the model I keep landing on - good balance of speed, quality, and VRAM fit.
Results: 45-50 tokens/second which is conversation-fast. Context handling is noticeably better than the 14B at complex multi-file code tasks. For pure coding questions with large context windows it's legitimately competitive with API-based models.
For the people asking "is 32B worth it over 14B" - yes for coding and reasoning tasks, less clear for general chat where 14B is already quite good.
Also tested Gemma 3 27B, which is strong for its size on multilingual tasks and instruction following. If you work in multiple languages it's worth trying.
Still on the RTX 4070 Ti day-to-day. Qwen3 14B Q6_K is the model I keep landing on - good balance of speed, quality, and VRAM fit.