Benefits of using bigger models than Qwen 3.8 flash next?
Qwen 3.8 27b was the first model I tried on Ninfer at NVFP4 and then shifted to Flash next after seeing issues with 27b such as not willing to yield to instructions set in AGENTS.md or agent skills.
Proof1 community thread
Key points
- I recently started using local LLM for mostly coding tasks for my personal projects.
- I also have found local models responding much better for topics such as health, fitness, ergonomics etc. compared to the quality I had observed with ChatGPT Go (which is still a basic level) and free models from Claude and Gemini.
- Although 27b was generally good on my personal projects, it was clear that the breadth of analysis, foresight was bit lacking when I compared with flash next.
- Is the model upgrade worth it while sacrificing the speed?
Sources (1)
- [1]Benefits of using bigger models than Qwen 3.8 flash next?r/LocalLLaMA (top, daily) · Oct 10, 07:21 PM
Qwen 3.8 27b was the first model I tried on Ninfer at NVFP4 and then shifted to Flash next after seeing issues with 27b such as not willing to yield to instructions set in AGENTS.md or agent skills.
I recently started using local LLM for mostly coding tasks for my personal projects.
Extractive summary: sentences quoted from the sources.
Before this
- Oct 10, 2026Engineer / developer observations of Gemma4-31B, Qwen3.8-27B, and 6.1-Sol for software engineering work
- Oct 10, 2026What Drives AI Citations? Content, Retrieval and Model Knowledge in Generative Engine Optimization (GEO)
- Oct 10, 2026Qwen3.8-27B on a single 3090: 140 tok/s on code with a custom megakernel
- Oct 8, 2026[AINews] not much happened today
- Oct 8, 2026Text is so 2023
- Oct 8, 2026Google brings agentic AI to Gemini, starting with businesses
