Local AI Advisor

Can Desktop PC · GeForce RTX 4070 Ti SUPER · 32 GB RAM run gpt-oss-120b?

16 GB VRAM + 32 GB RAM · 672 GB/s memory bandwidth · gpt-oss-120b has 116.8B parameters (5.1B active per token).

Short answer

No. It doesn't fit in memory.

Needs ≈60 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 (MXFP4) needs about 60 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 4070 Ti SUPER · 32 GB RAM has about 39 GB left, so it’s 22 GB short.

Ways to make it work

  • Close everything else

    Not enough on its own: with every other app closed it’s still about 19 GB short.

  • Pick a smaller model from the same family

  • Get more memory

    You’d want at least 69 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 4070 Ti 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.

Different tool, context size or workload?

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