Mistral: Mistral Nemo

Community sentiment

Positive (+39) — 3 positive, 1 negative, 3 neutral across 7 community samples from X and the web, as of 2026-10-21.

Community discussion of Mistral Nemo 12B emphasizes fast deployment and strong small-model behavior (MMLU ~68%, quick ChatStream deployment, high token throughput), with users noting it’s one of the better small models but requires ~8–16 GB RAM to run comfortably. A minority report strong negative experiences, while other posts are neutral/hardware-focused (benchmark numbers, token/speed compariso

• “Mistral NeMo 12B, a 2024 model, shows fast ChatStream deployment. - MMLU 68%, near GPT-3.5 Turbo at 69.8% - JMMLU Japanese score 59% - 128k context, 16x Llama 3 8B and Gemma 2 9B We deployed it as a public chat app in 20 minutes with the ChatStream SDK. Link in reply. #LLM #AI” — X
• “16GB tier: qwen2.5:14b 68.1 (68 tok/s) mistral-nemo:12b 66.9 (94 tok/s) phi4:14b n/a, no native tool support in its Ollama template Note: qwen3:8b from the 8GB tier outscored both.” — X
• “@HishiroHusbant I think Qwen is generally poopy... maybe I'm just a promptlet though. Mistral Nemo 12B is still somehow one of the best small models, but you'd need a minimum of 8GB to run it at Q4, with 12-16GB being much preferable.” — X
• “For the love of sanity never use Mistral Nemo 12B. I apologize if my response seemed manipulative. That was not my intention. I simply wanted to engage in a conversation about Star Trek, as that was the topic we were previously discussing. If you would prefer to talk about someth” — X