LOADING DATASHEET
LOADING DATASHEET
by Mistral
RANKED #203 OF 316 ASSISTANTS · OVERALL #310 OF 493 RANKED · VIBE SCORE 5.8 · 76 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
mistralai_Ministral-3-3B-Instruct-2512-GGUF on Hugging Face (image text to text). 19,672 downloads. Open weights for local or hosted use.
14 mentions
4 mentions
26 weeks · 73 voices in this window
HOLDING UP
Recent vibe is steady. No clear fade in the crowd.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download Ministral 3 3B once and it's yours. No subscription, no rate limits, works offline.
3.8B total parameters (3.4B text + 0.4B vision), a Q4_K_M GGUF is about 2.4 GB
Nvidia GeForce GTX 1650 4GB
4 GB VRAM
~$75 USEDQ4_K_M quant, ~30 tok/s, 8k context
Nvidia GeForce RTX 3060 12GB
12 GB VRAM
~$250 USEDQ8_0 or FP16, ~120 tok/s, 32k context with full vision offloading
Nvidia GeForce RTX 4070 12GB
12 GB VRAM
~$520 NEWBF16 / FP16 unquantized, ~225 tok/s, extended context window
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
Everyday jobs on each of those rigs: how long Ministral 3 3B takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNvidia GeForce GTX 1650 4GB | SWEET SPOTNvidia GeForce RTX 3060 12GB | FULL POWERNvidia GeForce RTX 4070 12GB |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~17 S★★★★★ | ~4 S★★★★★ | ~2 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~50 S★★★★★ | ~13 S★★★★★ | ~7 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~4.4 MIN★★★★★ | ~67 S★★★★★ | ~36 S★★★★★ |
| Build a backendan API with routes, storage and tests | ~14 MIN★★★★★ | ~3.5 MIN★★★★★ | ~1.9 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~8.3 MIN★★★★★ | ~2.1 MIN★★★★★ | ~67 S★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
People are mostly frustrated with Ministral 3 3B right now.
65 POSTS · 11 COMMENTS · REDDIT · GITHUB · LEMMY
0 thumbs up · 4 thumbs down
Other models the crowd has fully reviewed, starting with multimodal models like this one.
Introducing Mistral 3
legal-it-8b: Ministral-3-8B fine-tuned for Italian law, trained on a European supercomputer
I benchmarked 17 local LLMs on real MCP tool calling — single-shot AND agentic loop. The difference is massive.
Mistral 3 Family Released (10 Models): Large 3 hits 1418 Elo, Ministral 3 (3B/8B/14B) beats Qwen-VL. Full Benchmarks & Specs.
Mistral Ministral 3 Reinforcement Learning is now in Unsloth! New RL sodoku example.
Side-by-side comparison of Qwen-Image, ERNIE Base/Turbo, and FLUX.2 Dev across 8 custom styles (single RTX 5090)
Mistral got one prompt and did it right.
Mistral API quota and rate limits pools analysis for Free Tier plan (20.02.2026)
Having a great time with Ministral 3 3B 2512 Instruct
A stock GLM-Edge-1.5B-Chat on a 4GB Galaxy A04e completed a real Amazon cart task
ministral-3-3b is great model, give it a shot!
Ollama Free Tier - Model status