AMD Radeon RX 9070 XT
16 GB · 640 GB/s · 304 W
In short
The AMD Radeon RX 9070 XT has 16 GB of GDDR6 memory with 640 GB/s of bandwidth, which sets how fast it generates text. At 32k context it runs 52 of the 113 open models we track fully in memory; the most capable is Qwen 3.8 27B at Q6_K, at about 14 tok/s (estimated). The best new price for the AMD Radeon RX 9070 XT in Canada is $1,050 at Amazon; used, it starts at $1,000 (asking price).
Updated . Speeds are estimates; how they are worked out.
Prices
Every retailer we track in Canada, cheapest first. Buy links may earn us a commission.
| Retailer | Condition | Price | Stock | Checked | Buy |
|---|---|---|---|---|---|
| eBaygigabyte gaming radeon rx 9070 xt 16gb | used, asking price | $1,000 | In stock | 2 h ago | Buy |
| AmazonAcer Predator BiFrost AMD Radeon RX 9070 XT Overclocking Graphics Card | New | $1,050 | In stock | 4 h ago | Buy |
| AmazonSapphire 11348-01-20G Nitro+ AMD Radeon RX 9070 XT Gaming OC Graphics Card… | New | $1,094 | In stock | 7 h ago | Buy |
| AmazonAcer Nitro AMD Radeon RX 9070 XT Overclocking Graphics Card with 16GB GDDR6 | New | $1,200 | In stock | 37 min ago | Buy |
| AmazonGIGABYTE Gaming Radeon RX 9070 XT 16GB GDDR6 PCI Express 5.0 x16 Graphics Card… | New | $1,231 | In stock | 5 h ago | Buy |
| AmazonPowerColor Red Devil AMD Radeon RX 9070 XT 16GB GDDR6 | New | $1,259 | In stock | 28 min ago | Buy |
| AmazonPowerColor Hellhound Spectral White AMD Radeon RX 9070 XT 16GB GDDR6 | New | $1,283 | In stock | 28 min ago | Buy |
| AmazonXFX Swift AMD Radeon RX 9070XT Triple Fan Gaming Edition with 16GB GDDR6 HDMI… | New | $1,310 | In stock | 28 min ago | Buy |
| AmazonXFX Mercury AMD Radeon RX 9070XT OC Gaming Edition with RGB 16GB GDDR6 | New | $1,322 | In stock | 28 min ago | Buy |
| AmazonPowerColor Hellhound AMD Radeon RX 9070 XT 16GB GDDR6 | New | $1,342 | In stock | 28 min ago | Buy |
| eBayASUS Prime Radeon RX 9070 XT OC 16GB GDDR6 Graphics Card | used, asking price | $1,350 | In stock | 2 h ago | Buy |
| AmazonASRock AMD Radeon RX 9070 XT Steel Legend 16GB Graphics Card | New | $1,366+ $10 delivery | In stock | 28 min ago | Buy |
| AmazonXFX Mercury AMD Radeon RX 9070XT OC Magnetic Air Edition with RGB 16GB GDDR6… | New | $1,424 | In stock | 42 min ago | Buy |
| AmazonASUS Prime Radeon RX 9070 XT 16GB GDDR6 White OC Edition Graphics Card | New | $1,470+ $8 delivery | In stock | 37 min ago | Buy |
| AmazonASUS Prime Radeon RX 9070 XT 16GB GDDR6 OC Edition Gaming Graphics Card | New | $1,540 | In stock | 28 min ago | Buy |
| eBayASRock AMD Radeon RX 9070 XT Tai Chi 16GB GDDR6 Graphics Card | used, asking price | $1,700+ $100 delivery | In stock | 2 h 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 @32k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | Q6_K | fits | 25.9 GB | 98k172k with q8 cache | 14tok/sest. | 1101 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 30.3 GB | 34k59k with q8 cache | 11tok/sest. | 1101 tok/s | – |
| Gemma 4 31B | Q6_K | fits | 28.2 GB | 57k110k with q8 cache | 12tok/sest. | 981 tok/s | – |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q6_K | fits | 29.5 GB | 68k107k with q8 cache | 66tok/sest. | 7859 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 30.3 GB | 34k59k with q8 cache | 11tok/sest. | 1101 tok/s | – |
| Gemma 4 26B-A4B | Q8_0 | fits | 27.3 GB | 153k245k with q8 cache | 42tok/sest. | 6992 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q6_K | fits | 29.0 GB | 85k133k with q8 cache | 67tok/sest. | 7859 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q6_K | fits | 26.1 GB | 106k183k with q8 cache | 36tok/sest. | 4103 tok/s | chat, coding, agents, long documents |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 29.8 GB | 35k64k with q8 cache | 12tok/sest. | 1162 tok/s | – |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | fits | 29.8 GB | 78k107k with q8 cache | 99tok/sest. | 6773 tok/s | chat, coding, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 13.5 GB | 128k | 65tok/sest. | 5867 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q6_K | fits | 27.9 GB | 57k102k with q8 cache | 37tok/sest. | 3614 tok/s | chat, coding, agents |
| Qwen3 32B Alibaba Qwen | Q4_K_M | fits | 27.9 GB | 40k | 12tok/sest. | 683 tok/s | chat |
| Gemma 4 12B | Q8_0 | fits | 14.1 GB | 256k | 26tok/sest. | 2553 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 11.4 GB | 256k | 33tok/sest. | 3181 tok/s | chat, coding, long documents |
| Gemma 3 27B | Q6_K | fits | 25.0 GB | 95k128k with q8 cache | 14tok/sest. | 1168 tok/s | chat |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | fits | 28.0 GB | 41k76k with q8 cache | 12tok/sest. | 785 tok/s | chat |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 29.8 GB | 35k64k with q8 cache | 12tok/sest. | 1162 tok/s | – |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 19.9 GB | 97k176k with q8 cache | 18tok/sest. | 1767 tok/s | chat |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 21.1 GB | 40k | 17tok/sest. | 1589 tok/s | chat |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 14.1 GB | 128k | 26tok/sest. | 2620 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 14.1 GB | 40k | 26tok/sest. | 2620 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q8_0 | fits | 22.2 GB | 16k | 16tok/sest. | 1597 tok/s | chat |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 6.7 GB | 256k | 63tok/sest. | 5952 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 14.1 GB | 149k256k with q8 cache | 26tok/sest. | 2531 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q8_0 | fits | 15.2 GB | 125k128k with q8 cache | 24tok/sest. | 2410 tok/s | chat, coding |
| Gemma 4 E4B | Q8_0 | fits | 10.0 GB | 128k | 38tok/sest. | 3996 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 11.4 GB | 125k | 79tok/sest. | 13072 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 11.6 GB | 128k | 32tok/sest. | 2769 tok/s | chat, coding |
| Qwen2.5 0.5B Alibaba Qwen | Q8_0 | fits | 2.4 GB | 32k | 377tok/sest. | 28469 tok/s | chat, coding, long documents |
| Qwen3.5 0.8B Alibaba Qwen | Q8_0 | fits | 2.6 GB | 256k | 285tok/sest. | 26742 tok/s | chat, coding, agents, long documents |
| Qwen3.5 2B Alibaba Qwen | Q5_K_M | fits | 3.2 GB | 256k | 190tok/sest. | 12749 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 1.5B DeepSeek | Q8_0 | fits | 4.1 GB | 128k | 124tok/sest. | 10710 tok/s | chat, coding, long documents |
| MiniCPM5 2B openbmb | Q8_0 | fits | 5.3 GB | 128k | 86tok/sest. | 6396 tok/s | chat, coding, agents, long documents |
| LFM2.5 2.6B Liquid AI | Q8_0 | fits | 6.0 GB | 128k | 72tok/sest. | 7245 tok/s | chat, coding, agents, long documents |
| LFM2.5 VL 3B Liquid AI | Q8_0 | fits | 6.0 GB | 32k | 72tok/sest. | 6643 tok/s | chat, coding, agents, long documents |
| Mellum2.1 12B A2.5B Thinking JetBrains | Q8_0 | fits | 14.0 GB | 128k | 67tok/sest. | 9438 tok/s | chat, coding, agents, long documents |
| granite vision 4.1 4b IBM | Q8_0 | fits | 7.4 GB | 128k | 56tok/sest. | 4641 tok/s | chat, coding, long documents |
| granite 4.2 3b IBM | Q8_0 | fits | 7.6 GB | 128k | 54tok/sest. | 4865 tok/s | chat, coding, agents, long documents |
| Kimi VL A3B Moonshot AI | mlx-8bit | fits | 19.0 GB | 128k | 49tok/sest. | 7092 tok/s | chat, coding, agents, long documents |
| LFM2.5 24B A2B Liquid AI | Q8_0 | fits | 27.7 GB | 63k113k with q8 cache | 44tok/sest. | 7285 tok/s | chat, coding, agents |
| DeepSeek R1 Distill Qwen 7B DeepSeek | Q8_0 | fits | 10.8 GB | 128k | 35tok/sest. | 3130 tok/s | chat, coding, long documents |
| GLM 4.6V Flash Z.ai | Q8_0 | fits | 12.1 GB | 128k | 31tok/sest. | 2179 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Llama 8B DeepSeek | Q8_0 | fits | 13.4 GB | 128k | 27tok/sest. | 2769 tok/s | chat, coding |
| GLM 4.1V 9B Thinking Z.ai | mlx-8bit | fits | 13.7 GB | 64k | 27tok/sest. | 2179 tok/s | chat, coding, long documents |
| Ministral 3 8B Reasoning 2512 Mistral AI | Q8_0 | fits | 14.1 GB | 149k256k with q8 cache | 26tok/sest. | 2531 tok/s | chat, coding |
| DeepSeek R1 Distill Qwen 14B DeepSeek | Q8_0 | fits | 22.1 GB | 74k128k with q8 cache | 16tok/sest. | 1495 tok/s | chat |
| granite 4.2 30b IBM | Q5_K_M | fits | 29.1 GB | 37k68k with q8 cache | 12tok/sest. | 901 tok/s | chat |
| Devstral Small 2507 Mistral AI | Q8_0 | fits | 29.8 GB | 35k64k with q8 cache | 12tok/sest. | 1179 tok/s | – |
| Magistral Small 2506 Mistral AI | Q8_0 | fits | 29.8 GB | 35k40k with q8 cache | 12tok/sest. | 1179 tok/s | – |
| Magistral Small 2507 Mistral AI | Q8_0 | fits | 29.8 GB | 35k40k with q8 cache | 12tok/sest. | 1179 tok/s | – |
| Magistral Small 2509 Mistral AI | Q8_0 | fits | 29.8 GB | 35k64k with q8 cache | 12tok/sest. | 1162 tok/s | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 41.3 GB | – | 20tok/sest. | 2156 tok/s | chat |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 47.5 GB | – | 21tok/sest. | 4834 tok/s | chat, coding |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | offload | 52.8 GB | – | 11tok/sest. | 1927 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 39.6 GB | – | 29tok/sest. | 2453 tok/s | chat, coding |
| GLM 4.5 Air Z.ai | Q2_K | offload | 49.4 GB | – | 5tok/sest. | 731 tok/s | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 47.5 GB | – | 26tok/sest. | 5752 tok/s | chat, coding |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 34.3 GB | – | 36tok/sest. | 8325 tok/s | chat, coding, agents, long documents |
| Llama 3.3 70B Meta | Q4_K_M | offload | 51.1 GB | – | 2tok/sest. | 278 tok/s | – |
| DeepSeek R1 Distill Llama 70B DeepSeek | Q4_K_M | offload | 51.1 GB | – | 2tok/sest. | 278 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 94.4 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 103.2 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 75.8 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 79.4 GB | – | – | – | – |
| gpt-oss 120B OpenAI | Q4_K_M | won't run | 61.1 GB | – | – | – | – |
| DeepSeek R1 DeepSeek | Q4_K_M | won't run | 380.3 GB | – | – | – | – |
| DeepSeek R1 0528 DeepSeek | Q4_K_M | won't run | 380.8 GB | – | – | – | – |
| DeepSeek V3 0324 DeepSeek | Q4_K_M | won't run | 380.3 GB | – | – | – | – |
| DeepSeek V3.1 DeepSeek | Q4_K_M | won't run | 381.2 GB | – | – | – | – |
| DeepSeek V3.2 DeepSeek | Q4_K_M | won't run | 381.2 GB | – | – | – | – |
| DeepSeek V4 Flash 0731 DeepSeek | MXFP4 | won't run | 149.8 GB | – | – | – | – |
| DeepSeek V4 Flash Vision Exp DeepSeek | MXFP4 | won't run | 158.6 GB | – | – | – | – |
| Devstral 2 123B Instruct 2512 Mistral AI | Q8_0 | won't run | 136.2 GB | – | – | – | – |
| GLM 4.5V Z.ai | Q4_K_M | won't run | 66.5 GB | – | – | – | – |
| GLM 4.6V Z.ai | Q4_K_M | won't run | 72.8 GB | – | – | – | – |
| GLM 4.7 Z.ai | Q4_K_M | won't run | 214.6 GB | – | – | – | – |
| GLM 5.1 Z.ai | MXFP4 | won't run | 424.2 GB | – | – | – | – |
| GLM 5.2 Z.ai | UD-Q4_K_M | won't run | 438.1 GB | – | – | – | – |
| GLM 5.3 Z.ai | Q8_0 | won't run | 750.6 GB | – | – | – | – |
| Kimi K2 Moonshot AI | Q4_K_M | won't run | 581.8 GB | – | – | – | – |
| Kimi K2 Instruct 0905 Moonshot AI | Q4_K_M | won't run | 582.2 GB | – | – | – | – |
| Kimi K2 Thinking Moonshot AI | Q4_K_M | won't run | 582.2 GB | – | – | – | – |
| Kimi K2.5 Moonshot AI | Q4_K_M | won't run | 582.2 GB | – | – | – | – |
| MiniMax M2 MiniMax | Q4_K_M | won't run | 138.1 GB | – | – | – | – |
| MiniMax M2.1 MiniMax | Q4_K_M | won't run | 138.1 GB | – | – | – | – |
| MiniMax M2.5 MiniMax | MXFP4 | won't run | 124.5 GB | – | – | – | – |
| MiniMax M3 MiniMax | UD-Q4_K_M | won't run | 252.0 GB | – | – | – | – |
| Mistral Medium 3.5 128B Mistral AI | Q4_K_M | won't run | 82.2 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- GPU
- Radeon RX 9070 XT
- Memory
- 16 GB GDDR6
- Memory bus
- 256-bit
- Memory bandwidth
- 640 GB/s
- FP16 compute
- 195 TFLOPS
- Software
- ROCm
- Board power
- 304 W
- PCIe generation
- Gen 5
- PCIe lanes
- x16
Compare with
Questions
- How much memory does the AMD Radeon RX 9070 XT have for AI models?
- The AMD Radeon RX 9070 XT has 16 GB of GDDR6 memory with 640 GB/s of bandwidth, which sets how fast it generates text.
- What is the best model the AMD Radeon RX 9070 XT can run locally?
- Qwen 3.8 27B (Q6_K) fits fully in its memory at 32k context and generates at about 14 tok/s, an estimate from its memory bandwidth. 52 of the 113 models we track fit at that context.
- Can the AMD Radeon RX 9070 XT run DeepSeek V4 Flash?
- No: even at UD-Q2_K_XL, DeepSeek V4 Flash needs about 94 GB at 32k context, more than the AMD Radeon RX 9070 XT and system RAM can hold.
- How much does the AMD Radeon RX 9070 XT cost in Canada?
- The best new price for the AMD Radeon RX 9070 XT in Canada is $1,050 at Amazon; used, it starts at $1,000 (asking price).
Speeds on this page are for 32k context. See the best hardware for local AI at every budget.