Local AI Advisor

Can Desktop PC · GeForce RTX 4080 SUPER · 32 GB RAM run Mistral Small 4 (119B-A6.5B)?

16 GB VRAM + 32 GB RAM · 736 GB/s memory bandwidth · Mistral Small 4 (119B-A6.5B) has 119.4B parameters (6.5B active per token).

Short answer

No. It doesn't fit in memory.

Needs ≈56 GB but only ≈39 GB of VRAM + system RAM is available after the OS and other apps.

Why it doesn’t fit

Even its smallest practical version (Q3_K_M) needs about 56 GB for the model, its context memory and the runtime. After Windows (≈4.5 GB), a browser with a few tabs (≈3.0 GB) and Open WebUI (≈1.0 GB), Desktop PC · GeForce RTX 4080 SUPER · 32 GB RAM has about 39 GB left, so it’s 17 GB short.

Ways to make it work

  • Close everything else

    Not enough on its own: with every other app closed it’s still about 14 GB short.

  • Pick a smaller model from the same family

  • Get more memory

    You’d want at least 64 GB of VRAM plus RAM in total. The machines below are the cheapest that run it comfortably.

  • Check your exact setup

    These pages assume typical settings. A shorter context or a lighter chat app can change the answer.

    Check Desktop PC · GeForce RTX 4080 SUPER · 32 GB RAM

The same applies to every workload we rate (chat, coding questions, coding in a repository, agentic coding and long documents): they all need at least as much memory as chat.

Other models for Desktop PC · GeForce RTX 4080 SUPER · 32 GB RAM

The best-rated models for chat on this machine.

Everything Desktop PC · GeForce RTX 4080 SUPER · 32 GB RAM can run

Cheapest machines for Mistral Small 4 (119B-A6.5B)

Hardware rated comfortable or better for chat, lowest price first.

Different tool, context size or workload?

These pages use typical settings. The full check models your exact setup.

Open sourceCheck my exact setup