Can I run gpt-oss-120b on an RX 9060 XT 16GB?
Key facts
No: it needs about 64 GB and this card has 16 GB of graphics memory.
It needs about 64.5 GB at standard quality (estimate). Checked . ggml-org MXFP4 GGUF (official ggml-org repo; the model's native 4-bit, not Q4_K_M).
Updated · gpt-oss-120b on every card
How much memory it needs
That is about 4.2 times what this card has free.
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What runs gpt-oss-120b instead
The cheapest machine on our list that holds the whole model in its graphics memory:
Mac Studio M4 Max 128GBabout $3,683€3,290
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We never pass off an estimate as a benchmark. Commissions never change which hardware we recommend. How we calculate
Price details
$3,683€3,290
How we priced this
Not checked against a shop listing (price unverified). Price from 16 Oct 2026.
Used-market euro amount from an earlier check of ours. Used prices cannot be checked on the Apple Store.
Prices excl. shipping unless marked. Euro prices incl. VAT where the seller charges it. Dollar prices are converted from our euro prices without the 21% EU VAT, before US sales tax.
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For comparison, an RX 9060 XT 16GB costs $522€564, new (cheapest in-stock board on GPU PRIX's German board list). Card details
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gpt-oss-120b on other graphics cards
Runs slowly2
Part of the model spills into normal memory, which is much slower.
Doesn't fit8
Not enough graphics memory: it needs about 64.5 GB.
- RTX 3060 12GBhas 12 GB
- RTX 4060 Ti 16GBhas 16 GB
- RTX 3090has 24 GB
- RTX 4090has 24 GB
- RTX 5080has 16 GB
- RX 9060 XT 16GBhas 16 GB
- RTX 5090has 32 GB
- RX 7900 XTXhas 24 GB
More about the model itself, what it is good at and its licence: gpt-oss-120b.
The numbers behind this answer
A model comes in several sizes. Q4 is the standard one most people use; the bigger ones answer a little better but need more memory. Each row adds up the model file, the memory a conversation takes, and some working space, and compares the total with what is free on this card.
Swipe the table sideways to see every column.
| Quality | Conversation | Result | Model file | Conversation memory | Working space | Total needed | Free memory |
|---|---|---|---|---|---|---|---|
| Q4 · standard (smallest that keeps quality) | ~12 pages8,192 tokens | Doesn't fit | 63.4 GBmeasured file | 0.3 GB | 0.8 GB | 64.5 GB | 15.4 GB |
| Q5 · a bit sharper, a bit bigger | ~12 pages8,192 tokens | Doesn't fit | 65.4 GB | 0.3 GB | 0.8 GB | 66.5 GB | 15.4 GB |
| Q8 · near full quality, almost twice Q4 | ~12 pages8,192 tokens | Doesn't fit | 65.4 GB | 0.3 GB | 0.8 GB | 66.5 GB | 15.4 GB |
| FP16 · full quality, over three times Q4 | ~12 pages8,192 tokens | Doesn't fit | 65.4 GBmeasured file | 0.3 GB | 0.8 GB | 66.5 GB | 15.4 GB |
| Q4 · standard, longer conversation | ~49 pages32,768 tokens | Doesn't fit | 63.4 GBmeasured file | 1.2 GB | 0.8 GB | 65.4 GB | 15.4 GB |
speed: not estimated for MoE yet. This model only uses part of itself for each word (a mixture of experts), and our speed estimate does not handle that yet.
Sources and method
Memory and speed on this page are our estimate, not a measured test. Checked . ggml-org MXFP4 GGUF (official ggml-org repo; the model's native 4-bit, not Q4_K_M).
OpenAI's larger open model for reasoning, code and tool use. It ships in 4-bit, so the official file is about 63 GB: no single graphics card on our list holds it, but a 96 GB or 128 GB Mac or a 128 GB mini PC does. Even the full-quality file is only 65.4 GB, so our higher quality levels use that file's size. Lower-quality versions we checked keep that 4-bit core and save under 1 GB.
Questions
- Can I run gpt-oss-120b on an RX 9060 XT 16GB?
- No: it needs about 64 GB and this card has 16 GB of graphics memory.
- How much memory does gpt-oss-120b need?
- About 64.5 GB at the standard quality (Q4) for a conversation of up to about 12 pages of text (8,192 tokens), by our estimate: 63.4 GB for the model file (measured), 0.3 GB to hold the conversation and 0.8 GB of working space.
- How fast is gpt-oss-120b on an RX 9060 XT 16GB?
- We don't give a speed for this model yet. This model only uses part of itself for each word (a mixture of experts), and our speed estimate does not handle that yet.
Speeds and memory are our estimate from the hardware specs, not a measured test. Prices are dated and may change. How we calculate