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 @8k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 29.0 GB | 27k48k with q8 cache | 12tok/sest. | 453 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 28.6 GB | 34k59k with q8 cache | 12tok/sest. | 453 tok/s | – |
| Gemma 4 31B | Q6_K | fits | 26.2 GB | 57k110k with q8 cache | 13tok/sest. | 395 tok/s | – |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q6_K | fits | 28.9 GB | 68k107k with q8 cache | 77tok/sest. | 3882 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 28.6 GB | 34k59k with q8 cache | 12tok/sest. | 453 tok/s | – |
| Gemma 4 26B-A4B | Q8_0 | fits | 26.7 GB | 153k245k with q8 cache | 45tok/sest. | 2958 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q6_K | fits | 28.4 GB | 85k133k with q8 cache | 78tok/sest. | 3882 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q6_K | fits | 24.8 GB | 106k183k with q8 cache | 45tok/sest. | 2173 tok/s | chat, coding, agents |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 25.9 GB | 35k64k with q8 cache | 13tok/sest. | 511 tok/s | – |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | fits | 29.4 GB | 78k107k with q8 cache | 106tok/sest. | 3690 tok/s | chat, coding, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 12.8 GB | 128k | 78tok/sest. | 2810 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q6_K | fits | 25.5 GB | 57k102k with q8 cache | 63tok/sest. | 2809 tok/s | chat, coding, agents |
| Qwen3 32B Alibaba Qwen | Q6_K | fits | 28.4 GB | 15k29k with q8 cache | 12tok/sest. | 350 tok/s | – |
| Gemma 4 12B | Q8_0 | fits | 13.6 GB | 256k | 26tok/sest. | 1031 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 10.5 GB | 256k | 35tok/sest. | 1305 tok/s | chat, coding, long documents |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 25.9 GB | 35k64k with q8 cache | 13tok/sest. | 511 tok/s | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q6_K | fits | 28.4 GB | 15k29k with q8 cache | 12tok/sest. | 365 tok/s | – |
| Gemma 3 27B | Q8_0 | fits | 29.1 GB | 23k45k with q8 cache | 12tok/sest. | 459 tok/s | – |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 16.0 GB | 97k176k with q8 cache | 22tok/sest. | 847 tok/s | chat |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 17.2 GB | 40k | 20tok/sest. | 787 tok/s | chat |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 10.6 GB | 128k | 35tok/sest. | 1378 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 10.6 GB | 40k | 35tok/sest. | 1378 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q8_0 | fits | 17.4 GB | 16k | 20tok/sest. | 793 tok/s | chat |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 5.8 GB | 256k | 72tok/sest. | 2628 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 10.8 GB | 149k256k with q8 cache | 34tok/sest. | 1287 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q8_0 | fits | 11.3 GB | 125k128k with q8 cache | 32tok/sest. | 1278 tok/s | chat, coding |
| Gemma 4 E4B | Q8_0 | fits | 9.2 GB | 128k | 41tok/sest. | 1582 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 10.1 GB | 125k | 140tok/sest. | 9233 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 8.5 GB | 128k | 45tok/sest. | 1423 tok/s | chat, coding |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 40.6 GB | – | 23tok/sest. | 1011 tok/s | chat |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 46.8 GB | – | 27tok/sest. | 2372 tok/s | chat, coding |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | offload | 52.5 GB | – | 11tok/sest. | 782 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 39.0 GB | – | 36tok/sest. | 1352 tok/s | chat, coding |
| GLM 4.5 Air Z.ai | Q2_K | offload | 45.0 GB | – | 9tok/sest. | 478 tok/s | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 46.8 GB | – | 34tok/sest. | 2983 tok/s | chat, coding |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 34.0 GB | – | 38tok/sest. | 3775 tok/s | chat, coding, agents, long documents |
| Llama 3.3 70B Meta | Q4_K_M | offload | 43.4 GB | – | 3tok/sest. | 139 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 92.2 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 102.8 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 75.1 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 73.4 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 60.7 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