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 @128k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | UD-Q5_K_M | fits | 28.6 GB | 154k256k with q8 cache | 12tok/sest. | 318 tok/s | chat |
| Qwen 3.6 27B Alibaba Qwen | Q5_K_M | fits | 28.4 GB | 157k256k with q8 cache | 12tok/sest. | 318 tok/s | chat |
| Gemma 4 31B | Q4_K_M | fits | 29.9 GB | 133k245k with q8 cache | 12tok/sest. | 302 tok/s | chat |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q5_K_M | fits | 29.2 GB | 173k256k with q8 cache | 42tok/sest. | 1547 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q5_K_M | fits | 28.5 GB | 156k256k with q8 cache | 12tok/sest. | 318 tok/s | chat |
| Gemma 4 26B-A4B | Q8_0 | fits | 29.8 GB | 153k245k with q8 cache | 29tok/sest. | 1878 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q5_K_M | fits | 29.1 GB | 180k256k with q8 cache | 42tok/sest. | 1547 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q5_K_M | fits | 28.6 GB | 159k198k with q8 cache | 19tok/sest. | 730 tok/s | chat, coding, agents, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 16.3 GB | 128k | 36tok/sest. | 1216 tok/s | chat, coding, agents, long documents |
| Gemma 4 12B | Q8_0 | fits | 16.2 GB | 256k | 23tok/sest. | 781 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 15.0 GB | 256k | 25tok/sest. | 928 tok/s | chat, coding, long documents |
| Gemma 3 27B | Q4_K_M | fits | 27.9 GB | 128k | 12tok/sest. | 390 tok/s | chat |
| Ministral 3 14B Mistral AI | Q4_K_M | fits | 29.7 GB | 132k241k with q8 cache | 12tok/sest. | 366 tok/s | chat, coding |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 28.2 GB | 128k | 12tok/sest. | 471 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 28.2 GB | 40k | 12tok/sest. | 471 tok/s | chat, coding |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 10.3 GB | 256k | 39tok/sest. | 1446 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 27.5 GB | 149k256k with q8 cache | 13tok/sest. | 477 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q6_K | fits | 29.1 GB | 128k | 12tok/sest. | 428 tok/s | chat, coding |
| Gemma 4 E4B | Q8_0 | fits | 13.2 GB | 128k | 29tok/sest. | 1302 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 16.4 GB | 125k | 27tok/sest. | 1740 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 24.2 GB | 128k | 14tok/sest. | 514 tok/s | chat, coding |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 44.2 GB | – | 11tok/sest. | 455 tok/s | chat |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 50.3 GB | – | 11tok/sest. | 944 tok/s | chat, coding |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | offload | 54.1 GB | – | 9tok/sest. | 578 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 42.3 GB | – | 15tok/sest. | 404 tok/s | chat, coding |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 50.3 GB | – | 13tok/sest. | 1032 tok/s | chat, coding |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 35.4 GB | 97k177k with q8 cache | 5tok/sest. | 259 tok/s | chat |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 35.4 GB | – | 27tok/sest. | 1893 tok/s | chat, coding, agents, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 31.1 GB | 78k107k with q8 cache | 62tok/sest. | 1145 tok/s | chat, coding, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 31.3 GB | 118k212k with q8 cache | 12tok/sest. | 442 tok/s | chat, coding, agents |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 52.5 GB | 40k | 2tok/sest. | 94 tok/s | chat |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 35.4 GB | 97k128k with q8 cache | 5tok/sest. | 259 tok/s | chat |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 52.5 GB | 41k76k with q8 cache | 2tok/sest. | 126 tok/s | chat |
| Qwen3 14B Alibaba Qwen | Q4_K_M | offload | 30.4 GB | 40k | 11tok/sest. | 311 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q4_K_M | offload | 35.3 GB | 16k | 5tok/sest. | 284 tok/s | chat, coding |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 103.0 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 104.8 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 78.6 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 103.2 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 65.6 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 67.3 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 81.7 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