AINewsnow

Now that you have local AI running, which model should you actually pick? (Llama vs Mistral vs Qwen vs DeepSeek breakdown)

This story is from 2026-09-13. It is preserved in the archive; the latest stories are on the live feed.

A while back, I shared a beginner-friendly guide here on setting up local AI in under 10 minutes using Ollama and LM Studio (thanks for the great feedback and discussion on that!). Once you get Ollama or LM Studio running, the immediate next problem hits you: Which model do you actually pull? There…

Read the full story at r/ArtificialInteligence ↗

Timeline · 2 reports

  1. 2026-09-14 07:54 · r/GeminiAI
    DeepSeek V4 (Open/Cost) vs. Gemini 3.1 (Multimodal/Ecosystem) — Which model actually powers your stack?
  2. 2026-09-13 10:47 · r/ArtificialInteligence
    Now that you have local AI running, which model should you actually pick? (Llama vs Mistral vs Qwen vs DeepSeek breakdown)

More stories

  1. I gave 6 different AIs the same 5 questions — r/AI_Agents
  2. Alibaba ships Qwen3.8-Omni-Flash to watch, listen and call tools — r/LocalLLM
  3. M2 Mac ultra128gb Qwen flash next — r/LocalLLM
  4. Pay $39.99 once to put ChatGPT, Claude, Gemini, and more in a single workspace for life — Mashable AI
  5. Multi-hour llama.cpp optimization experiments on Qwen MoE models, patches, benchmarks, and reproduction guides — r/LocalLLM
  6. Gemini 4 is good enough - JUST RELEASE IT — r/GeminiAI
  7. The bear can dance: Qwen 3.8 27B on one 3090 for 3 weeks — r/LocalLLaMA
  8. CUDA: enable sparse fa for qwen4 by am17an · Pull Request #28770 · ggml-org/llama.cpp — r/LocalLLaMA

Get the daily brief of stories like this at 6:30 every morning →