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How much VRAM does Ministral 3 14B need?

Ministral 3 14B needs 7.9 GB for its weights at 4-bit, 10.0 GB with an 8K context and 13.7 GB with 32K. At 8-bit, 15.9 GB.

Parameters
13.9B
Longest context
256K
Released
Dec 2025
License
Apache 2.0
Strongest at
Coding, Agents, Docs

Memory at each precision

Memory Ministral 3 14B needs at each precision and context length
PrecisionWeightsWith 8KWith 32KWith 128K
As released (FP8)14.6 GB16.8 GB20.5 GB35.5 GB
8-bit13.8 GB15.9 GB19.7 GB34.7 GB
6-bit10.7 GB12.8 GB16.5 GB31.5 GB
5-bit9.2 GB11.3 GB15.1 GB30.1 GB
4-bit7.9 GB10.0 GB13.7 GB28.7 GB
3-bit6.3 GB8.5 GB12.2 GB27.2 GB
2-bit4.9 GB7.0 GB10.7 GB25.7 GB
1.6-bit2.7 GB4.8 GB8.5 GB23.5 GB

One conversation, 16-bit context cache, runtime overhead included.

What runs it

The best way Ministral 3 14B runs on common GPUs, Macs and AI boxes
MachineBest fitContextSpeedFirst reply
RTX 3060 12 GB4-bit16K30 tok/s2.2 s
RTX 4060 Ti 16 GB6-bit20K18 tok/s1.3 s
RTX 30908-bit48K44 tok/s0.8 s
RTX 40908-bit48K47 tok/s0.3 s
RTX 50908-bit96K80 tok/s0.3 s
2× RTX 30908-bit192K44 tok/s0.5 s
RTX PRO 6000 Blackwell8-bit256K80 tok/s0.2 s
M4 Max 128 GB8-bit256K23 tok/s4.5 s
M5 Max 128 GB8-bit256K26 tok/s1.3 s
Ryzen AI Max+ 395 128 GB8-bit256K11 tok/s2.6 s
DGX Spark 128 GB8-bit256K13 tok/s0.9 s
M3 Ultra 256 GB8-bit256K34 tok/s2.5 s
M5 Ultra 512 GB8-bit256K47 tok/s0.8 s
H100 SXM8-bit256K139 tok/s0.2 s
DGX Station GB3008-bit256K248 tok/s0.1 s
8× H200 NVL8-bit256K185 tok/s0.1 s

Best fit is the highest quality, up to 8-bit, that leaves 16K of context. First reply is the wait for a 2K prompt. Speeds are rough, plus or minus 25%.

How to run it

Ollama
ollama run ministral-3:14b
llama.cpp
llama-server -hf unsloth/Ministral-3-14B-Instruct-2512-GGUF
vLLM
vllm serve mistralai/Ministral-3-14B-Instruct-2512
MLX (Mac)
mlx_lm.chat --model mlx-community/Ministral-3-14B-Instruct-2512-4bit

Questions

How much VRAM does Ministral 3 14B need?

Ministral 3 14B needs 7.9 GB for its weights at 4-bit, 10.0 GB with an 8K context and 13.7 GB with 32K. At 8-bit, 15.9 GB.

Can Ministral 3 14B run on an RTX 4090?

Yes. At 8-bit it holds 48K of context and writes about 47 tokens a second.

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