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 it runs
Every model in the catalogue, with the best quant for this hardware. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @8k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | fits | 16.8 GB | 42k74k with q8 cache | 26tok/sest. | 631 tok/s | chat, coding |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | fits | 17.1 GB | 37k66k with q8 cache | 25tok/sest. | 631 tok/s | chat, coding |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | fits | 17.1 GB | 39k68k with q8 cache | 25tok/sest. | 631 tok/s | chat, coding |
| Gemma 4 26B-A4B | UD-Q4_K_M | fits | 17.0 GB | 95k154k with q8 cache | 88tok/sest. | 4118 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q4_K_M | fits | 18.3 GB | 23k40k with q8 cache | 76tok/sest. | 3024 tok/s | chat, coding, agents |
| Devstral Small 2 24B Mistral AI | Q5_K_M | fits | 17.7 GB | 17k31k with q8 cache | 24tok/sest. | 711 tok/s | chat |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | fits | 18.9 GB | 11k20k with q8 cache | 100tok/sest. | 3910 tok/s | chat, coding, agents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 12.3 GB | 128k | 100tok/sest. | 3911 tok/s | chat, coding, agents, long documents |
| Gemma 4 12B | Q8_0 | fits | 13.1 GB | 256k | 34tok/sest. | 1435 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 10.0 GB | 255k256k with q8 cache | 45tok/sest. | 1817 tok/s | chat, coding, long documents |
| Gemma 3 27B | Q4_K_M | fits | 17.3 GB | 30k58k with q8 cache | 25tok/sest. | 639 tok/s | chat, coding |
| Mistral Small 3.2 24B Mistral AI | Q5_K_M | fits | 17.7 GB | 17k31k with q8 cache | 24tok/sest. | 711 tok/s | chat |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 15.5 GB | 31k56k with q8 cache | 28tok/sest. | 1179 tok/s | chat, coding |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 16.7 GB | 23k40k with q8 cache | 26tok/sest. | 1096 tok/s | chat |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 10.1 GB | 70k127k with q8 cache | 44tok/sest. | 1918 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 10.1 GB | 40k | 44tok/sest. | 1918 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q8_0 | fits | 16.9 GB | 16k | 26tok/sest. | 1103 tok/s | chat |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 5.3 GB | 256k | 92tok/sest. | 3657 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 10.3 GB | 72k130k with q8 cache | 43tok/sest. | 1792 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q8_0 | fits | 10.8 GB | 59k109k with q8 cache | 41tok/sest. | 1779 tok/s | chat, coding |
| Gemma 4 E4B | Q8_0 | fits | 8.7 GB | 128k | 52tok/sest. | 2202 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 9.6 GB | 125k | 180tok/sest. | 12851 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 8.0 GB | 93k128k with q8 cache | 57tok/sest. | 1980 tok/s | chat, coding |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 40.1 GB | – | 15tok/sest. | 1135 tok/s | – |
| Gemma 4 31B | Q4_K_M | offload | 19.3 GB | 6k19k with q8 cache | 21tok/sest. | 548 tok/s | chat |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 38.5 GB | – | 22tok/sest. | 1510 tok/s | chat |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q4_K_M | offload | 21.7 GB | – | 69tok/sest. | 5019 tok/s | chat, coding, agents, long documents |
| GLM 4.5 Air Z.ai | Q2_K | offload | 44.5 GB | – | 6tok/sest. | 543 tok/s | – |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | offload | 21.6 GB | – | 70tok/sest. | 5034 tok/s | chat, coding, agents, long documents |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 33.5 GB | – | 19tok/sest. | 4149 tok/s | chat |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 28.9 GB | – | 39tok/sest. | 4067 tok/s | chat, coding, long documents |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 21.3 GB | – | 12tok/sest. | 457 tok/s | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 21.3 GB | – | 11tok/sest. | 477 tok/s | – |
| Llama 3.3 70B Meta | Q4_K_M | offload | 42.9 GB | – | 2tok/sest. | 157 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 91.7 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 102.3 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 74.6 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 72.9 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 52.0 GB | – | – | – | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | won't run | 46.3 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 60.2 GB | – | – | – | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | won't run | 46.3 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