Mistral · 3.4B
Can you run Ministral 3 3B locally?
Ministral 3 3B is a 3.4B-parameter model. At 4-bit or better it runs on 120 of the 120 hardware configurations listed here; the smallest is the RTX 5060 (8 GB). On a 128 GB DGX Spark it runs at Q4_K_M.
Data as of 2 November 2026
Fastest machines for Ministral 3 3B
Every machine that runs it, fastest first. Filter by type; your machine is marked. Compare machines running it side by side
- 1RTX 5090Graphics card · 32 GB~291 tok/s ModelFit est.Q4_K_M · 4.1 of 31 GB
- 2RTX PRO 6000 BlackwellGraphics card · 96 GB~291 tok/s ModelFit est.Q4_K_M · 4.1 of 95 GB
- 32x RTX 5090Graphics card · 64 GB~268 tok/s ModelFit est.Q4_K_M · 4.1 of 62 GB
- 42x RTX PRO 6000 BlackwellGraphics card · 192 GB~268 tok/s ModelFit est.Q4_K_M · 4.1 of 190 GB
- 5RTX 4090Graphics card · 24 GB~192 tok/s ModelFit est.Q4_K_M · 4.1 of 23 GB
- 6RTX 5080Graphics card · 16 GB~191 tok/s ModelFit est.Q4_K_M · 4.1 of 15.0 GB
- 7M5 UltraMac · 96–512 GB · 5 variants~187 tok/s ModelFit est.Q4_K_M · 4.1 GB
- 82x RTX 4090Graphics card · 48 GB~182 tok/s ModelFit est.Q4_K_M · 4.1 of 46 GB
- 9RTX 5070 TiGraphics card · 16 GB~181 tok/s ModelFit est.Q4_K_M · 4.1 of 15.0 GB
- 10RTX 3090 TiGraphics card · 24 GB~178 tok/s ModelFit est.Q4_K_M · 4.1 of 23 GB
- 112x RTX 3090 TiGraphics card · 48 GB~169 tok/s ModelFit est.Q4_K_M · 4.1 of 46 GB
- 12RTX 3090Graphics card · 24 GB~169 tok/s ModelFit est.Q4_K_M · 4.1 of 23 GB
- 132x RTX 3090Graphics card · 48 GB~161 tok/s ModelFit est.Q4_K_M · 4.1 of 46 GB
- 14RTX 4080 SUPERGraphics card · 16 GB~151 tok/s ModelFit est.Q4_K_M · 4.1 of 15.0 GB
- 15RTX 4080Graphics card · 16 GB~148 tok/s ModelFit est.Q4_K_M · 4.1 of 15.0 GB
- 16RTX 5070Graphics card · 12 GB~145 tok/s ModelFit est.Q4_K_M · 4.1 of 11.0 GB
- 17RTX 4070 Ti SUPERGraphics card · 16 GB~140 tok/s ModelFit est.Q4_K_M · 4.1 of 15.0 GB
- 18RX 7900 XTXGraphics card · 24 GB~140 tok/s ModelFit est.Q4_K_M · 4.1 of 23 GB
- 192x RX 7900 XTXGraphics card · 48 GB~135 tok/s ModelFit est.Q4_K_M · 4.1 of 46 GB
- 20M3 UltraMac · 96–512 GB · 5 variants~132 tok/s ModelFit est.Q4_K_M · 4.1 GB
- 21M5 MaxMac · 48–128 GB · 3 variants~126 tok/s ModelFit est.Q4_K_M · 4.1 GB
- 22RX 7900 XTGraphics card · 20 GB~126 tok/s ModelFit est.Q4_K_M · 4.1 of 19.0 GB
- 23M2 UltraMac · 64–192 GB · 7 variants~116 tok/s ModelFit est.Q4_K_M · 4.1 GB
- 24RTX 4070 TiGraphics card · 12 GB~111 tok/s ModelFit est.Q4_K_M · 4.1 of 11.0 GB
- 25RTX 4070 SUPERGraphics card · 12 GB~111 tok/s ModelFit est.Q4_K_M · 4.1 of 11.0 GB
- 26RTX 4070Graphics card · 12 GB~111 tok/s ModelFit est.Q4_K_M · 4.1 of 11.0 GB
- 27RX 9070 XTGraphics card · 16 GB~110 tok/s ModelFit est.Q4_K_M · 4.1 of 15.0 GB
- 28M4 MaxMac · 48–128 GB · 3 variants~106 tok/s ModelFit est.Q4_K_M · 4.1 GB
- 29RTX 5060Graphics card · 8 GB~104 tok/s ModelFit est.Q4_K_M · 4.1 of 7.0 GB
- 30RTX 5060 TiGraphics card · 16 GB~104 tok/s ModelFit est.Q4_K_M · 4.1 of 15.0 GB
- 31M1 UltraMac · 64–128 GB · 4 variants~103 tok/s ModelFit est.Q4_K_M · 4.1 GB
- 32M5 Max · 36 GB · 32cMac · 36 GB~99 tok/s ModelFit est.Q4_K_M · 4.1 of 24 GB
- 33RTX 3070Graphics card · 8 GB~92 tok/s ModelFit est.Q4_K_M · 4.1 of 7.0 GB
- 34RTX 3060 TiGraphics card · 8 GB~92 tok/s ModelFit est.Q4_K_M · 4.1 of 7.0 GB
- 35M3 MaxMac · 48–128 GB · 3 variants~84 tok/s ModelFit est.Q4_K_M · 4.1 GB
- 36RTX 2070Graphics card · 8 GB~83 tok/s ModelFit est.Q4_K_M · 4.1 of 7.0 GB
- 37M4 Max · 36 GB · 32cMac · 36 GB~83 tok/s ModelFit est.Q4_K_M · 4.1 of 24 GB
- 38M2 MaxMac · 32–96 GB · 5 variants~78 tok/s ModelFit est.Q4_K_M · 4.1 GB
- 39RTX 3060Graphics card · 12 GB~76 tok/s ModelFit est.Q4_K_M · 4.1 of 11.0 GB
- 40M5 ProMac · 24–64 GB · 6 variants~75 tok/s ModelFit est.Q4_K_M · 4.1 GB
- 41M1 MaxMac · 32–64 GB · 4 variants~70 tok/s ModelFit est.Q4_K_M · 4.1 GB
- 42RX 9060 XTGraphics card · 16 GB~67 tok/s ModelFit est.Q4_K_M · 4.1 of 15.0 GB
- 43RTX 4060 TiGraphics card · 16 GB~66 tok/s ModelFit est.Q4_K_M · 4.1 of 15.0 GB
- 44Tesla P100Graphics card · 16 GB~65 tok/s ModelFit est.Q4_K_M · 4.1 of 15.0 GB
- 45M3 MaxMac · 36–96 GB · 2 variants~65 tok/s ModelFit est.Q4_K_M · 4.1 GB
- 46M4 ProMac · 24–64 GB · 6 variants~63 tok/s ModelFit est.Q4_K_M · 4.1 GB
- 47RTX 4060Graphics card · 8 GB~63 tok/s ModelFit est.Q4_K_M · 4.1 of 7.0 GB
- 48Tesla T4Graphics card · 16 GB~58 tok/s ModelFit est.Q4_K_M · 4.1 of 15.0 GB
- 49Ryzen AI Max+ 395 · 128 GBAI mini PC · 128 GB~49 tok/s ModelFit est.Q4_K_M · 4.1 of 96 GB
- 50M2 ProMac · 16–32 GB · 2 variants~46 tok/s ModelFit est.Q4_K_M · 4.1 GB
- 51M6Mac · 24–32 GB · 3 variants~45 tok/s ModelFit est.Q4_K_M · 4.1 GB
- 52M1 ProMac · 16–32 GB · 2 variants~41 tok/s ModelFit est.Q4_K_M · 4.1 GB
- 53M6Mac · 16 GB · 2 variants~40 tok/s ModelFit est.Q4_K_M · 4.1 GB
- 54M5Mac · 16–32 GB · 6 variants~38 tok/s ModelFit est.Q4_K_M · 4.1 GB
- 55M3 ProMac · 18–36 GB · 2 variants~37 tok/s ModelFit est.Q4_K_M · 4.1 GB
- 56M4Mac · 16–32 GB · 3 variants~28 tok/s ModelFit est.Q4_K_M · 4.1 GB
- 57M3Mac · 8–24 GB · 3 variants~25 tok/s ModelFit est.Q4_K_M · 4.1 GB
- 58M2Mac · 8–24 GB · 3 variants~24 tok/s ModelFit est.Q4_K_M · 4.1 GB
- 59M1Mac · 8–16 GB · 2 variants~15 tok/s ModelFit est.Q4_K_M · 4.1 GB
- 60Ryzen AI Max+ 395 · 64 GBAI mini PC · 64 GBno estimateQ4_K_M · 4.1 of 48 GB
- 61DGX Spark (GB10)AI mini PC · 128 GBno estimateQ4_K_M · 4.1 of 122 GB
Speeds are single-user decode estimates, not measurements. "ModelFit est." comes from ModelFit's model fitted on published runs (CC BY 4.0); "our est." is memory bandwidth divided by bytes read per token, times 0.55. Memory is what the best build needs, against what the machine can give a model. Method
About the model
- Parameters
- 3.4B
- Active per token
- not in our sources
- Type
- not in our sources
- Good for
- Chat, Vision, Edge
Builds and how to run them
| Quantization | Load | Min. RAM | Command |
|---|---|---|---|
| Q4_K_M | 3.0 GB | 6 GB | ollama run ministral-3:3b |
Load, minimum RAM and Ollama commands: ModelFit, CC BY 4.0. Load is memory with the model loaded, before long contexts.
Questions
Can I run Ministral 3 3B on a Mac?
Yes on a Mac with enough memory: the smallest Apple configuration listed here that runs it at 4-bit or better is the M3 · 8 GB.
How much memory does Ministral 3 3B need?
About 4.1 GB at the smallest build in our data, including a margin for the runtime and an 8K-token context. Longer contexts need more.
Does Ministral 3 3B run on a DGX Spark?
Yes, at Q4_K_M. The Spark has 128 GB of unified memory, about 121.6 GB usable.