AMD Radeon RX 7900 XT
20 GB · 800 GB/s · 315 W
Prices
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No retailer in this market lists it right now.
What two of them run
Every model in the catalogue, with the best quant for this hardware. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @64k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 32.9 GB | 144k253k with q8 cache | 13tok/sest. | 527 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 32.4 GB | 151k256k with q8 cache | 13tok/sest. | 527 tok/s | chat |
| Gemma 4 31B | Q8_0 | fits | 37.9 GB | 70k132k with q8 cache | 11tok/sest. | 481 tok/s | – |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q8_0 | fits | 37.4 GB | 105k164k with q8 cache | 59tok/sest. | 3171 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 32.4 GB | 151k256k with q8 cache | 13tok/sest. | 527 tok/s | chat |
| Gemma 4 26B-A4B | Q8_0 | fits | 28.1 GB | 256k | 46tok/sest. | 3247 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q8_0 | fits | 37.4 GB | 105k164k with q8 cache | 59tok/sest. | 3171 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q8_0 | fits | 34.6 GB | 129k198k with q8 cache | 30tok/sest. | 1573 tok/s | chat, coding, agents, long documents |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 35.0 GB | 84k154k with q8 cache | 12tok/sest. | 519 tok/s | chat |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | fits | 34.7 GB | 256k | 70tok/sest. | 3910 tok/s | chat, coding, agents, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q5_K_M | fits | 34.9 GB | 322k439k with q8 cache | 97tok/sest. | 2547 tok/s | chat, coding, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 14.5 GB | 128k | 65tok/sest. | 2427 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q8_0 | fits | 37.9 GB | 68k123k with q8 cache | 27tok/sest. | 1135 tok/s | chat, coding, agents |
| Qwen3 32B Alibaba Qwen | Q4_K_M | fits | 36.1 GB | 40k | 12tok/sest. | 269 tok/s | chat |
| Gemma 4 12B | Q8_0 | fits | 14.8 GB | 256k | 31tok/sest. | 1248 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 12.6 GB | 256k | 38tok/sest. | 1528 tok/s | chat, coding, long documents |
| Gemma 3 27B | Q8_0 | fits | 33.8 GB | 118k128k with q8 cache | 13tok/sest. | 590 tok/s | – |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 35.0 GB | 84k128k with q8 cache | 12tok/sest. | 519 tok/s | chat |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | fits | 36.2 GB | 72k128k with q8 cache | 12tok/sest. | 332 tok/s | chat |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 25.0 GB | 146k256k with q8 cache | 18tok/sest. | 730 tok/s | chat, coding |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 26.3 GB | 40k | 17tok/sest. | 639 tok/s | chat, coding |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 18.8 GB | 128k | 24tok/sest. | 1010 tok/s | chat, coding, long documents |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 18.8 GB | 40k | 24tok/sest. | 1010 tok/s | chat, coding, long documents |
| Phi-4 14B Microsoft | Q8_0 | fits | 28.7 GB | 16k | 15tok/sest. | 642 tok/s | chat |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 7.9 GB | 256k | 66tok/sest. | 2648 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 18.6 GB | 206k256k with q8 cache | 24tok/sest. | 999 tok/s | chat, coding, long documents |
| Granite 4.2 8B IBM | Q8_0 | fits | 20.4 GB | 128k | 22tok/sest. | 923 tok/s | chat, coding |
| Gemma 4 E4B | Q8_0 | fits | 11.1 GB | 128k | 44tok/sest. | 2001 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 13.1 GB | 125k | 62tok/sest. | 4270 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 15.8 GB | 128k | 29tok/sest. | 1085 tok/s | chat, coding, long documents |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 42.3 GB | – | 31tok/sest. | 1033 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 48.4 GB | – | 26tok/sest. | 2213 tok/s | chat, coding, agents, long documents |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | offload | 53.2 GB | – | 14tok/sest. | 1054 tok/s | chat |
| gpt-oss 120B OpenAI | MXFP4 | offload | 63.0 GB | – | 12tok/sest. | 1291 tok/s | chat |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 40.5 GB | – | 49tok/sest. | 1043 tok/s | chat, coding, agents, long documents |
| GLM 4.5 Air Z.ai | Q2_K | offload | 55.4 GB | – | 4tok/sest. | 270 tok/s | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 48.4 GB | – | 30tok/sest. | 2525 tok/s | chat, coding, agents, long documents |
| Llama 3.3 70B Meta | Q4_K_M | offload | 61.3 GB | – | 2tok/sest. | 122 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 97.2 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 103.7 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 76.7 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 87.3 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- GPU
- Radeon RX 7900 XT
- Memory
- 20 GB GDDR6
- Memory bus
- 320-bit
- Memory bandwidth
- 800 GB/s
- FP16 compute
- 103 TFLOPS
- Software
- ROCm
- Board power
- 315 W
- PCIe generation
- Gen 4
- PCIe lanes
- x16