AMD Radeon RX 7800 XT
16 GB · 624 GB/s · 263 W
Prices
Every retailer we track in the US, cheapest first. Buy links may earn us a commission.
| Retailer | Condition | Price | Stock | Checked | Buy |
|---|---|---|---|---|---|
| AmazonPowerColor Fighter AMD Radeon RX 7800 XT 16GB GDDR6 Graphics Card | New | $599 | In stock | 26 min ago | Buy |
| AmazonPowerColor Hellhound AMD Radeon RX 7800 XT 16GB GDDR6 Graphics Card | refurbished | $630 | In stock | 26 min ago | Buy |
| AmazonPowerColor Fighter AMD Radeon RX 7800 XT 16GB GDDR6 Graphics Card | refurbished | $630 | In stock | 26 min ago | Buy |
| AmazonSapphire 11330-03-20G Pure AMD Radeon RX 7800 XT Gaming Graphics Card with… | refurbished | $640 | In stock | 26 min ago | Buy |
| AmazonPowerColor Twin Fan AMD Radeon RX 7800 XT 16GB GDDR6 | New | $699 | In stock | 26 min ago | Buy |
| AmazonSapphire 11330-01-20G Nitro+ AMD Radeon RX 7800 XT Gaming Graphics Card with… | New | $757 | In stock | 26 min ago | Buy |
| AmazonSapphire Pulse AMD Radeon RX 7800 XT Gaming 16GB GDDR6 Dual Video Card | New | $757 | In stock | 26 min ago | Buy |
| AmazonXFX Quicksilver AMD Radeon RX 7800 XT Magnetic Air Gaming Graphics Card with… | New | $798 | In stock | 26 min ago | Buy |
| AmazonXFX Speedster SWFT210 Radeon RX 7800XT Gaming Graphics Card with 16GB GDDR6… | New | $849 | In stock | 26 min ago | Buy |
| AmazonSapphire 11330-02-20G Pulse AMD Radeon RX 7800 XT Gaming Graphics Card with… | New | $895 | In stock | 26 min ago | Buy |
| AmazonGIGABYTE Radeon RX 7800 XT Gaming OC 16GB Graphics Card | New | $978 | In stock | 26 min ago | Buy |
| AmazonGigabyte Radeon RX 7800 XT Gaming OC 16G Graphics Card | New | $990+ $10 delivery | In stock | 26 min ago | Buy |
| AmazonSAPPHIRE Pulse Radeon RX 7800 XT Gaming 16GB GDDR6 2 Fan Space Saving Graphics… | New | $1,075 | In stock | 26 min ago | Buy |
Price history
Lowest price shown each day over the last 90 days.
Not enough price history yet.
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 | UD-Q6_K | fits | 26.3 GB | 124k217k with q8 cache | 13tok/sest. | 378 tok/s | chat |
| Qwen 3.6 27B Alibaba Qwen | Q6_K | fits | 26.8 GB | 116k204k with q8 cache | 13tok/sest. | 378 tok/s | – |
| Gemma 4 31B | Q5_K_M | fits | 27.6 GB | 97k179k with q8 cache | 12tok/sest. | 346 tok/s | – |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q6_K | fits | 30.3 GB | 68k107k with q8 cache | 54tok/sest. | 2278 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q6_K | fits | 26.7 GB | 117k206k with q8 cache | 13tok/sest. | 378 tok/s | – |
| Gemma 4 26B-A4B | Q8_0 | fits | 28.1 GB | 153k245k with q8 cache | 36tok/sest. | 2333 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q6_K | fits | 29.9 GB | 85k133k with q8 cache | 54tok/sest. | 2278 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q6_K | fits | 28.0 GB | 106k183k with q8 cache | 27tok/sest. | 1130 tok/s | chat, coding, agents |
| Devstral Small 2 24B Mistral AI | Q6_K | fits | 29.7 GB | 68k124k with q8 cache | 11tok/sest. | 373 tok/s | chat |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | fits | 30.2 GB | 78k107k with q8 cache | 86tok/sest. | 1830 tok/s | chat, coding, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 14.5 GB | 128k | 51tok/sest. | 1744 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q5_K_M | fits | 27.9 GB | 89k159k with q8 cache | 24tok/sest. | 815 tok/s | chat, coding, agents |
| Gemma 4 12B | Q8_0 | fits | 14.8 GB | 256k | 24tok/sest. | 897 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 12.6 GB | 256k | 29tok/sest. | 1097 tok/s | chat, coding, long documents |
| Gemma 3 27B | Q6_K | fits | 27.7 GB | 95k128k with q8 cache | 12tok/sest. | 424 tok/s | – |
| Mistral Small 3.2 24B Mistral AI | Q6_K | fits | 29.7 GB | 68k124k with q8 cache | 11tok/sest. | 373 tok/s | chat |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 25.0 GB | 97k176k with q8 cache | 14tok/sest. | 525 tok/s | chat |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 26.3 GB | 40k | 13tok/sest. | 459 tok/s | chat |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 18.8 GB | 128k | 19tok/sest. | 725 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 18.8 GB | 40k | 19tok/sest. | 725 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q8_0 | fits | 28.7 GB | 16k | 12tok/sest. | 461 tok/s | chat |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 7.9 GB | 256k | 51tok/sest. | 1902 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 18.6 GB | 149k256k with q8 cache | 19tok/sest. | 718 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q8_0 | fits | 20.4 GB | 125k128k with q8 cache | 17tok/sest. | 663 tok/s | chat, coding |
| Gemma 4 E4B | Q8_0 | fits | 11.1 GB | 128k | 34tok/sest. | 1437 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 13.1 GB | 125k | 48tok/sest. | 3068 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 15.8 GB | 128k | 23tok/sest. | 779 tok/s | chat, coding |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 42.3 GB | – | 16tok/sest. | 649 tok/s | chat |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 48.4 GB | – | 17tok/sest. | 1403 tok/s | chat, coding |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | offload | 53.2 GB | – | 10tok/sest. | 672 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 40.5 GB | – | 22tok/sest. | 653 tok/s | chat, coding |
| GLM 4.5 Air Z.ai | Q2_K | offload | 55.4 GB | – | 3tok/sest. | 173 tok/s | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 48.4 GB | – | 19tok/sest. | 1600 tok/s | chat, coding |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 34.7 GB | – | 32tok/sest. | 2590 tok/s | chat, coding, agents, long documents |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 36.1 GB | 40k | 5tok/sest. | 174 tok/s | chat |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 36.2 GB | 41k76k with q8 cache | 5tok/sest. | 215 tok/s | chat |
| 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 | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 63.0 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 61.3 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- GPU
- Radeon RX 7800 XT
- Memory
- 16 GB GDDR6
- Memory bus
- 256-bit
- Memory bandwidth
- 624 GB/s
- FP16 compute
- 74 TFLOPS
- Software
- ROCm
- Board power
- 263 W
- PCIe generation
- Gen 4
- PCIe lanes
- x16