Mistral AI
Mistral Large 123B
Mistral AI·123B·Mistral·128K ctx·2026-08
Model size→Hardware requirement→Actual fit
Mistral Large 123B needs ~74.2–87.5 GB of VRAM depending on quantization. The bar is what it needs; the marker is the card's VRAM. Speed figures below are planning estimates.
8 GB
RTX 4060 · 3060 Ti
74.28
Q4_K_M · Est. ~1 tok/sWon't run
12 GB
RTX 4070 · 3060 12G
74.212
Q4_K_M · Est. ~1 tok/sWon't run
16 GB
RTX 4080 · M-series 16G
74.216
Q4_K_M · Est. ~1 tok/sWon't run
24 GB
RTX 4090 · 3090
74.224
Q4_K_M · Est. ~1 tok/sWon't run
48 GB
A6000 · 2×24G
74.248
Q4_K_M · Est. ~5 tok/sSlow · CPU offload
02 — Quantizations
QuantFile sizeEst. VRAM
Q4_K_M73 GB74.2 GB
Q5_K_M86.3 GB87.5 GB
03 — Runtimes & use
llama.cpp · Ollama · LM Studio
General · Max intelligence
Memory and speed figures are planning estimates, not measured benchmarks. Memory includes a fixed allowance for KV cache and runtime overhead. Long-context prompts push VRAM use above the numbers shown here.