Can I run gpt-oss-20b on an RX 7900 XTX?
Yes. gpt-oss-20b runs on an RX 7900 XTX: the whole model fits in its graphics memory.
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.
Updated · gpt-oss-20b on every card
How much memory it needs
It uses about 56% of the memory that is free on this card.
What an RX 7900 XTX costs
Radeon RX 7900 XTX 24GB$1,404€1,254used (3-month median)
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Price details
$1,404€1,254
How we priced this
Used price, the typical price over the last three months.
Source: GPU PRIX, checked 17 Oct 2026.
New in stock, €3,972 at GPU PRIX on 17 Oct 2026 (unusually high). Source: GPU PRIX, 17 Oct 2026. More than 1.5 times the typical price of €1,254, so we do not use it as the main price.
€1,254 is the typical price over the past 3 months on GPU PRIX, checked 17 Oct 2026. The only board in stock (an ASUS TUF Gaming at €3,972) cost more than 1.5 times that, and cheaper boards, such as an XFX Speedster at €1,049, were out of stock.
Prices excl. shipping. Euro prices incl. VAT. Dollar prices are converted from our euro prices without EU VAT, before US sales tax.
The cheapest graphics card on our list that also runs it (it still needs the rest of a PC): Radeon RX 9060 XT 16GB, $522€564, new (cheapest in-stock board on GPU PRIX's German board list).
The cheapest complete machine that runs it: Mac mini M6 32GB, $1,416€1,530. price unverified
gpt-oss-20b on other graphics cards
Runs well8
The whole model fits in the graphics memory.
Doesn't fit1
Not enough graphics memory: it needs about 13.1 GB.
- RTX 3060 12GBhas 12 GB
More about the model itself, what it is good at and its licence: gpt-oss-20b.
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 | Runs | 12.1 GBmeasured file | 0.2 GB | 0.8 GB | 13.1 GB | 23.4 GB |
| Q5 · a bit sharper, a bit bigger | ~12 pages8,192 tokens | Runs | 13.8 GB | 0.2 GB | 0.8 GB | 14.8 GB | 23.4 GB |
| Q8 · near full quality, almost twice Q4 | ~12 pages8,192 tokens | Runs | 13.8 GB | 0.2 GB | 0.8 GB | 14.8 GB | 23.4 GB |
| FP16 · full quality, over three times Q4 | ~12 pages8,192 tokens | Runs | 13.8 GBmeasured file | 0.2 GB | 0.8 GB | 14.8 GB | 23.4 GB |
| Q4 · standard, longer conversation | ~49 pages32,768 tokens | Runs | 12.1 GBmeasured file | 0.8 GB | 0.8 GB | 13.7 GB | 23.4 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.
Questions
- Can I run gpt-oss-20b on an RX 7900 XTX?
- Yes. gpt-oss-20b runs on an RX 7900 XTX: the whole model fits in its graphics memory.
- How much memory does gpt-oss-20b need?
- About 13.1 GB at the standard quality (Q4) for a conversation of up to about 12 pages of text (8,192 tokens), by our estimate: 12.1 GB for the model file (measured), 0.2 GB to hold the conversation and 0.8 GB of working space.
- How fast is gpt-oss-20b on an RX 7900 XTX?
- 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