Radeon RX 7900 XTX
AMD Radeon RX 7900 XTX: 24 GB of memory at 960 GB/s. Below: the open models it can run, estimated at 24 GB with an 8K context. 24 GB of VRAM at 960 GB/s for $999 at launch, $600 less than the RTX 4090: the AMD route to 32B models at 4-bit, using ROCm or Vulkan instead of CUDA.
Last updated: 2026-10-14
Specifications
What it can run
Best-quality quantization that fits with a 8K context, and the estimated generation speed. Estimates, not benchmarks. See the methodology.
| Model | Params | Best quant | Memory | tok/s (est.) |
|---|---|---|---|---|
| Qwen3.5-35B-A3B | 35B (3B) | Q4_K_M | 21.4 GiB | 369 |
| Qwen3.6-35B-A3B | 35B (3B) | Q4_K_M | 21.4 GiB | 369 |
| Qwen3-32B | 32.8B | Q4_K_M | 21.9 GiB | 34 |
| DeepSeek-R1-Distill-Qwen-32B | 32.76B | Q4_K_M | 21.9 GiB | 34 |
| Gemma 4 31B IT | 30.7B | Q5_K_M | 22.9 GiB | 31 |
| Qwen3-30B-A3B (2507) | 30.5B (3.3B) | Q5_K_M | 22.5 GiB | 286 |
| Qwen3-Coder-30B-A3B-Instruct | 30.5B (3.3B) | Q5_K_M | 22.5 GiB | 286 |
| GLM-4.7-Flash (30B-A3B) | 30B (3B) | Q5_K_M | 21.8 GiB | 315 |
| Qwen3.5-27B | 27B | Q6_K | 22.7 GiB | 30 |
| Qwen3.6-27B | 27B | Q6_K | 22.7 GiB | 30 |
| Qwen3.8-27B | 27B | Q6_K | 22.7 GiB | 30 |
| Gemma 3 27B IT | 27B | Q6_K | 23.3 GiB | 30 |
| Gemma 4 26B A4B IT | 25.2B (3.8B) | Q6_K | 21.1 GiB | 215 |
| Mistral Small 3.2 24B Instruct (2506) | 24B | Q6_K | 21.1 GiB | 34 |
| Magistral Small 1.2 (2509) | 24B | Q6_K | 21.1 GiB | 34 |
| Devstral Small 2 24B Instruct (2512) | 24B | Q6_K | 21.1 GiB | 34 |
| gpt-oss-20b | 21B (3.6B) | Q8_0 | 22.5 GiB | 176 |
| Phi-4 (14B) | 14B | Q8_0 | 16.6 GiB | 45 |
| Gemma 3 12B IT | 12B | Q8_0 | 13.8 GiB | 53 |
| Gemma 4 12B Unified IT | 11.95B | Q8_0 | 13.3 GiB | 53 |
| Qwen3.5-9B | 9B | FP16 | 18.4 GiB | 37 |
| Qwen3-8B | 8.2B | FP16 | 17.7 GiB | 41 |
| DeepSeek-R1-0528-Qwen3-8B | 8.19B | FP16 | 17.6 GiB | 41 |
| Llama 3.1 8B Instruct | 8B | FP16 | 17.1 GiB | 42 |
| Gemma 4 E4B IT | 8B | FP16 | 16.4 GiB | 42 |
| Llama 3.2 3B Instruct | 3.21B | FP16 | 7.7 GiB | 105 |
| Kimi K2.6 | 1000B (32B) | Doesn't fit | – | – |
| DeepSeek-R1-0528 (671B) | 671B (37B) | Doesn't fit | – | – |
| DeepSeek-V4-Flash | 284B (13B) | Doesn't fit | – | – |
| Qwen3.8-Flash-Next | 180B (6B) | Doesn't fit | – | – |
| Qwen3.5-122B-A10B | 122B (10B) | Doesn't fit | – | – |
| Mistral Small 4 119B (2603) | 119B (6.5B) | Doesn't fit | – | – |
| gpt-oss-120b | 117B (5.1B) | Doesn't fit | – | – |
| Llama 4 Scout 17B-16E Instruct | 109B (17B) | Doesn't fit | – | – |
| GLM-4.5-Air | 106B (12B) | Doesn't fit | – | – |
| Qwen3-Coder-Next (80B-A3B) | 80B (3B) | Doesn't fit | – | – |
| Llama 3.3 70B Instruct | 70B | Doesn't fit | – | – |
Prices
Latest price at each shop, as listed on the day we checked.
| Region | Shop | Listing | Price | Per GB | Checked |
|---|---|---|---|---|---|
| US | Neweggroboshine | PowerColor Hellhound Radeon RX 7900 XTX 24GB GDDR6 PCI Express 4.0 ATX Graphics Card RX7900XTX 24G-L/OCNewegg marketplace seller; ships from Hong Kong | US$1,353.11 | US$56/GB | 2026-10-14 |
- US value: about 138.6 tok/s on Llama 3.1 8B Instruct (Q4_K_M, 8K), or 10.2 tok/s per US$100.
A price history chart appears once we have checked this device on two or more days.
All prices →Frequently asked questions
Which LLMs can the Radeon RX 7900 XTX run?
With 24 GB and an 8K context, the largest models that fit include: Qwen3.5-35B-A3B, Qwen3.6-35B-A3B, Qwen3-32B, DeepSeek-R1-Distill-Qwen-32B, Gemma 4 31B IT. See the full table below.
How fast is the Radeon RX 7900 XTX for local LLMs?
Generation speed is mostly set by memory bandwidth (960 GB/s). For Llama 3.1 8B Instruct at FP16, expect roughly 42 tokens/s; bigger models are slower.
Can the Radeon RX 7900 XTX run 70B models?
Llama 3.3 70B Instruct does not fit on the Radeon RX 7900 XTX (24 GB), even at Q4_K_M with an 8K context.
Sources
- https://www.amd.com/en/products/graphics/desktops/radeon/7000-series/amd-radeon-rx-7900xtx.html
- https://www.amd.com/en/newsroom/press-releases/2022-11-3-amd-unveils-world-s-most-advanced-gaming-graphics-.html
- https://www.custompc.com/amd-radeon-rx-7900-xtx-review
- https://rocm.docs.amd.com/en/latest/compatibility/compatibility-matrix.html