LOADING DATASHEET
LOADING DATASHEET
by Mistral
RANKED #143 OF 232 ASSISTANTS · OVERALL #227 OF 6,567 · VIBE SCORE 5.7 · 45 VOICES
Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...
14 mentions
4 mentions
26 weeks · 61 voices
HONEYMOON FADING
Early praise is cooling off in recent weeks.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download Mistral Small 4 once and it's yours. No subscription, no rate limits, works offline.
119B MoE with 6.5B active parameters, a Q4 quant needs about 70 GB memory
Desktop PC with 96 GB DDR5 RAM and CPU offloading
96 GB RAM
~$450 USEDQ4_K_M running mostly on CPU RAM, ~3 tok/s, 8k context
Apple Mac Studio M2 Ultra (128 GB Unified Memory)
128 GB UNIFIED MEMORY
~$3100 USEDQ4_K_M fully in unified memory, ~22 tok/s, 32k context
Dual NVIDIA RTX 6000 Ada workstation (2x 48 GB)
96 GB VRAM
~$13500 USEDFP8 / Q8 full context offloaded to VRAM, ~45 tok/s, 128k context
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 Mistral Small 4 takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMDesktop PC with 96 GB DDR5 RAM and CPU offloading | SWEET SPOTApple Mac Studio M2 Ultra (128 GB Unified Memory) | FULL POWERDual NVIDIA RTX 6000 Ada workstation (2x 48 GB) |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~2.8 MIN★★★★★ | ~23 S★★★★★ | ~11 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~8.3 MIN★★★★★ | ~68 S★★★★★ | ~33 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~44 MIN★★★★★ | ~6.1 MIN★★★★★ | ~3 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~2.3 HR★★★★★ | ~19 MIN★★★★★ | ~9.3 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~83 MIN★★★★★ | ~11 MIN★★★★★ | ~5.6 MIN★★★★★ |
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.
Not enough discussion about Mistral Small 4 yet to call it. We found 45 posts but people did not say much either way.
27 POSTS · 18 COMMENTS · X · REDDIT · LEMMY · DEV FORUMS · GITHUB
Other models the crowd has fully reviewed, starting with multimodal models like this one.
Introducing Mistral Small 4
Leanstral.
Mistral Small 4 document understanding benchmarks, tested via API. Does better than GPT-4.1
Comment in r/MistralAI
Mistral small 4 model, night & day results: Mistral without skills vs with design skills configured in vibe cli
Mistral: A Tale of two AIs - APIs for the Glory, Le Chat is Waterloo
Running Mistral Small 4 through Hermes agent harness + Open WebUI absolutely demolishes Le Chat imo.
I Benchmarked All Latest Mistral Models on Tool Calling (ToolCall-15) – Surprising Winner
[VIDEO] Mistral Small 4 first impressions.
What are your issues with Mistral?
Introducing Mistral Small 4 Mistral AI
Built a voice menu assistant for my local pizza spot Mistral Small 4 + Voxtral did the heavy lifting