NVIDIA GeForce RTX 5080
16 GB · 960 GB/s · 360 W
In short
The NVIDIA GeForce RTX 5080 has 16 GB of GDDR7 memory with 960 GB/s of bandwidth, which sets how fast it generates text. At 128k context it runs 39 of the 113 open models we track fully in memory; the most capable is Qwen 3.8 27B at UD-Q6_K, at about 19 tok/s (estimated). The best new price for the NVIDIA GeForce RTX 5080 in Canada is $2,370 at Amazon; used, it starts at $2,850 (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 |
|---|---|---|---|---|---|
| AmazonThe SFF-Ready ASUS Prime GeForce RTX 5080 16GB GDDR7 OC Edition Graphics Card | New | $2,370 | In stock | 2 h ago | Buy |
| AmazonASUS Prime GeForce RTX 5080 EVO 16GB GDDR7 OC Edition Gaming Graphics Card | New | $2,420 | In stock | 2 h ago | Buy |
| AmazonMSI Gaming RTX 5080 16G Ventus 3X OC White Graphics Card | New | $2,580 | In stock | 2 h ago | Buy |
| Amazonmsi Gaming RTX 5080 16G Ventus 3X OC Black Graphics Card | New | $2,640 | In stock | 2 h ago | Buy |
| AmazonASUS TUF Gaming GeForce RTX 5080 16GB GDDR7 BTF OC Edition Gaming Graphics Card | New | $2,650 | In stock | 2 h ago | Buy |
| eBayASUS TUF GAMING GeForce RTX 5080 16GB Oc New In Hand Shipping To Canada USA | New | $2,570+ $114 delivery | In stock | 3 h ago | Buy |
| AmazonASUS ProArt GeForce RTX 5080 16GB GDDR7 OC Edition Graphics Card | New | $2,700 | In stock | 2 h ago | Buy |
| AmazonGigabyte GeForce RTX 5080 Gaming OC 16G Graphics Card | New | $2,718 | In stock | 2 h ago | Buy |
| Amazonmsi Gaming RTX 5080 16G Inspire 3X OC Black Graphics Card | New | $2,720 | In stock | 2 h ago | Buy |
| eBayNEW Gigabyte RTX 5080 WINDFORCE SFF 16GB GDDR7 SFF-Ready | New | $2,700+ $30 delivery | In stock | 3 h ago | Buy |
| AmazonMSI Gaming RTX 5080 16G Gaming Trio OC White Graphics Card | New | $2,750 | In stock | 2 h ago | Buy |
| eBayASUS ROG Astral RTX 5080 16GB GDDR7 In White | New | $2,750 | In stock | 3 h ago | Buy |
| AmazonPNY NVIDIA GeForce RTX 5080 Slim Dual-Fan Dual-Slot OC Graphics Card | New | $2,763 | In stock | 2 h ago | Buy |
| eBayNVIDIA GeForce RTX 5080 16GB GDDR7 Founders Edition | used, asking price | $2,850 | In stock | 3 h ago | Buy |
| AmazonASUS ROG Astral GeForce RTX 5080 16GB GDDR7 OC Edition Gaming Graphics Card | New | $2,920 | In stock | 2 h ago | Buy |
| AmazonAsus Prime GeForce RTX 5080 16GB GDDR7 Prime-RTX5080-16G Pci-Express 5.0 Dlss… | New | $2,940 | In stock | 2 h ago | Buy |
| AmazonMSI Gaming RTX 5080 16G SUPRIM Liquid SOC Graphics Card | New | $2,950 | In stock | 2 h ago | Buy |
| eBayAORUS Master RTX 5080 Graphics Card | New | $2,999 | In stock | 3 h ago | Buy |
| AmazonGIGABYTE AORUS GeForce RTX 5080 Master ICE 16G Graphics Card | New | $3,000 | In stock | 2 h ago | Buy |
| eBayAsus ROG Astral GeForce RTX 5080 16GB GDDR7 OC Edition | New | $3,000 | In stock | 3 h ago | Buy |
| AmazonASUS ROG Astral GeForce RTX 5080 16GB GDDR7 White OC Edition Graphics Card | New | $3,060 | In stock | 2 h ago | Buy |
| eBayASUS PRIME GeForce RTX 5080 OC 16GB / Gaming Graphics Card | New | $3,100+ $160 delivery | In stock | 3 h ago | Buy |
| eBayMSI GeForce RTX 5080 Gaming Trio OC 16GB GDDR7 Video Card | New | $3,500+ $60 delivery | In stock | 3 h ago | Buy |
| eBayASUS TUF GAMING GeForce RTX 5080 16GB Oc New In Hand Shipping To Canada + USA | New | $3,700 | In stock | 3 h ago | Buy |
| eBayAsus ROG Astral GeForce RTX 5080 16GB GDDR7 OC HATSUNE MIKU EDITION | New | $7,000 | In stock | 3 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 @128k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | UD-Q6_K | fits | 30.5 GB | 132k232k with q8 cache | 19tok/sest. | 625 tok/s | chat, coding, long documents |
| Qwen 3.6 27B Alibaba Qwen | Q5_K_M | fits | 28.2 GB | 166k256k with q8 cache | 21tok/sest. | 625 tok/s | chat, coding, long documents |
| Gemma 4 31B | Q4_K_M | fits | 29.7 GB | 141k256k with q8 cache | 20tok/sest. | 593 tok/s | chat, coding, long documents |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q5_K_M | fits | 29.0 GB | 197k256k with q8 cache | 72tok/sest. | 3038 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q5_K_M | fits | 28.3 GB | 165k256k with q8 cache | 21tok/sest. | 625 tok/s | chat, coding, long documents |
| Gemma 4 26B-A4B | Q8_0 | fits | 29.6 GB | 176k256k with q8 cache | 51tok/sest. | 3688 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q5_K_M | fits | 28.9 GB | 204k256k with q8 cache | 72tok/sest. | 3038 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q5_K_M | fits | 28.4 GB | 169k198k with q8 cache | 34tok/sest. | 1433 tok/s | chat, coding, agents, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 16.1 GB | 128k | 63tok/sest. | 2388 tok/s | chat, coding, agents, long documents |
| Gemma 4 12B | Q8_0 | fits | 16.0 GB | 256k | 39tok/sest. | 1533 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 14.8 GB | 256k | 43tok/sest. | 1823 tok/s | chat, coding, long documents |
| Gemma 3 27B | Q5_K_M | fits | 30.2 GB | 128k | 20tok/sest. | 765 tok/s | chat, coding, long documents |
| Ministral 3 14B Mistral AI | Q4_K_M | fits | 29.5 GB | 135k247k with q8 cache | 20tok/sest. | 718 tok/s | chat, coding, long documents |
| Qwen3 14B Alibaba Qwen | Q4_K_M | fits | 30.2 GB | 40k | 20tok/sest. | 611 tok/s | chat, coding, long documents |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 28.0 GB | 128k | 21tok/sest. | 924 tok/s | chat, coding, long documents |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 28.0 GB | 40k | 21tok/sest. | 924 tok/s | chat, coding, long documents |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 10.1 GB | 256k | 67tok/sest. | 2839 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 27.3 GB | 153k256k with q8 cache | 22tok/sest. | 936 tok/s | chat, coding, long documents |
| Granite 4.2 8B IBM | Q8_0 | fits | 30.6 GB | 128k | 19tok/sest. | 840 tok/s | chat, coding, agents, long documents |
| Gemma 4 E4B | Q8_0 | fits | 13.0 GB | 128k | 50tok/sest. | 2556 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 16.2 GB | 125k | 48tok/sest. | 3416 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 24.0 GB | 128k | 25tok/sest. | 1009 tok/s | chat, coding, long documents |
| Qwen2.5 0.5B Alibaba Qwen | Q8_0 | fits | 3.8 GB | 32k | 278tok/sest. | 7675 tok/s | chat, coding, long documents |
| Qwen3.5 0.8B Alibaba Qwen | Q8_0 | fits | 4.1 GB | 256k | 244tok/sest. | 10235 tok/s | chat, coding, agents, long documents |
| Qwen3.5 2B Alibaba Qwen | Q5_K_M | fits | 4.7 GB | 256k | 194tok/sest. | 6545 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 1.5B DeepSeek | Q8_0 | fits | 7.1 GB | 128k | 105tok/sest. | 3429 tok/s | chat, coding, long documents |
| Mellum2.1 12B A2.5B Thinking JetBrains | Q8_0 | fits | 15.7 GB | 128k | 78tok/sest. | 3952 tok/s | chat, coding, agents, long documents |
| MiniCPM5 2B openbmb | Q8_0 | fits | 9.6 GB | 128k | 72tok/sest. | 1844 tok/s | chat, coding, agents, long documents |
| LFM2.5 2.6B Liquid AI | Q8_0 | fits | 12.0 GB | 128k | 55tok/sest. | 2365 tok/s | chat, coding, agents, long documents |
| LFM2.5 VL 3B Liquid AI | Q8_0 | fits | 12.0 GB | 32k | 55tok/sest. | 2275 tok/s | chat, coding, agents, long documents |
| Kimi VL A3B Moonshot AI | mlx-8bit | fits | 22.2 GB | 128k | 49tok/sest. | 2481 tok/s | chat, coding, agents, long documents |
| granite vision 4.1 4b IBM | Q8_0 | fits | 15.2 GB | 128k | 42tok/sest. | 1460 tok/s | chat, coding, long documents |
| granite 4.2 3b IBM | Q8_0 | fits | 15.5 GB | 128k | 41tok/sest. | 1489 tok/s | chat, coding, agents, long documents |
| GLM 4.6V Flash Z.ai | Q8_0 | fits | 16.2 GB | 128k | 39tok/sest. | 800 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 7B DeepSeek | Q8_0 | fits | 16.4 GB | 128k | 38tok/sest. | 1224 tok/s | chat, coding, long documents |
| GLM 4.1V 9B Thinking Z.ai | mlx-8bit | fits | 17.8 GB | 64k | 35tok/sest. | 800 tok/s | chat, coding, long documents |
| LFM2.5 24B A2B Liquid AI | Q5_K_M | fits | 29.1 GB | 128k | 29tok/sest. | 1996 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Llama 8B DeepSeek | Q8_0 | fits | 25.8 GB | 128k | 23tok/sest. | 1009 tok/s | chat, coding, long documents |
| Ministral 3 8B Reasoning 2512 Mistral AI | Q8_0 | fits | 27.3 GB | 153k256k with q8 cache | 22tok/sest. | 936 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 44.0 GB | – | 13tok/sest. | 903 tok/s | chat, coding |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 50.1 GB | – | 13tok/sest. | 1873 tok/s | chat, coding |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | offload | 53.9 GB | – | 10tok/sest. | 1145 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 42.1 GB | – | 17tok/sest. | 801 tok/s | chat, coding, agents, long documents |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 50.1 GB | – | 14tok/sest. | 2047 tok/s | chat, coding |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 35.2 GB | 100k183k with q8 cache | 7tok/sest. | 515 tok/s | chat, coding, agents |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 35.2 GB | – | 37tok/sest. | 3760 tok/s | chat, coding, agents, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 30.9 GB | 122k167k with q8 cache | 119tok/sest. | 2276 tok/s | chat, coding, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 31.1 GB | 124k223k with q8 cache | 22tok/sest. | 878 tok/s | chat, coding, agents, long documents |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 52.3 GB | 40k | 2tok/sest. | 187 tok/s | chat, coding |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 35.2 GB | 100k128k with q8 cache | 7tok/sest. | 515 tok/s | chat, coding |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 52.3 GB | 43k80k with q8 cache | 2tok/sest. | 250 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q4_K_M | offload | 35.1 GB | 16k | 7tok/sest. | 565 tok/s | chat, coding |
| DeepSeek R1 Distill Qwen 14B DeepSeek | Q4_K_M | offload | 34.2 GB | 110k128k with q8 cache | 8tok/sest. | 507 tok/s | chat, coding |
| Devstral Small 2507 Mistral AI | Q4_K_M | offload | 35.2 GB | 100k128k with q8 cache | 7tok/sest. | 520 tok/s | chat, coding, agents |
| Magistral Small 2506 Mistral AI | Q4_K_M | offload | 35.2 GB | 40k | 7tok/sest. | 520 tok/s | chat, coding |
| Magistral Small 2507 Mistral AI | Q4_K_M | offload | 35.2 GB | 40k | 7tok/sest. | 520 tok/s | chat, coding, agents |
| Magistral Small 2509 Mistral AI | Q4_K_M | offload | 35.2 GB | 100k128k with q8 cache | 7tok/sest. | 515 tok/s | chat, coding, agents |
| granite 4.2 30b IBM | Q4_K_M | offload | 50.6 GB | 50k93k with q8 cache | 2tok/sest. | 302 tok/s | chat, coding |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 102.8 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 104.6 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 78.4 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 103.0 GB | – | – | – | – |
| gpt-oss 120B OpenAI | Q4_K_M | won't run | 64.8 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 67.1 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 81.5 GB | – | – | – | – |
| DeepSeek R1 DeepSeek | Q4_K_M | won't run | 387.1 GB | – | – | – | – |
| DeepSeek R1 0528 DeepSeek | Q4_K_M | won't run | 387.6 GB | – | – | – | – |
| DeepSeek R1 Distill Llama 70B DeepSeek | Q4_K_M | won't run | 81.5 GB | – | – | – | – |
| DeepSeek V3 0324 DeepSeek | Q4_K_M | won't run | 387.1 GB | – | – | – | – |
| DeepSeek V3.1 DeepSeek | Q4_K_M | won't run | 388.0 GB | – | – | – | – |
| DeepSeek V3.2 DeepSeek | Q4_K_M | won't run | 388.0 GB | – | – | – | – |
| DeepSeek V4 Flash 0731 DeepSeek | MXFP4 | won't run | 158.2 GB | – | – | – | – |
| DeepSeek V4 Flash Vision Exp DeepSeek | MXFP4 | won't run | 167.0 GB | – | – | – | – |
| Devstral 2 123B Instruct 2512 Mistral AI | Q8_0 | won't run | 169.6 GB | – | – | – | – |
| GLM 4.5V Z.ai | Q4_K_M | won't run | 84.1 GB | – | – | – | – |
| GLM 4.6V Z.ai | Q4_K_M | won't run | 90.5 GB | – | – | – | – |
| GLM 4.7 Z.ai | Q4_K_M | won't run | 249.4 GB | – | – | – | – |
| GLM 5.1 Z.ai | MXFP4 | won't run | 432.8 GB | – | – | – | – |
| GLM 5.2 Z.ai | UD-Q4_K_M | won't run | 446.7 GB | – | – | – | – |
| GLM 5.3 Z.ai | Q8_0 | won't run | 759.1 GB | – | – | – | – |
| Kimi K2 Moonshot AI | Q4_K_M | won't run | 588.6 GB | – | – | – | – |
| Kimi K2 Instruct 0905 Moonshot AI | Q4_K_M | won't run | 589.0 GB | – | – | – | – |
| Kimi K2 Thinking Moonshot AI | Q4_K_M | won't run | 589.0 GB | – | – | – | – |
| Kimi K2.5 Moonshot AI | Q4_K_M | won't run | 589.0 GB | – | – | – | – |
| MiniMax M2 MiniMax | Q4_K_M | won't run | 161.7 GB | – | – | – | – |
| MiniMax M2.1 MiniMax | Q4_K_M | won't run | 161.7 GB | – | – | – | – |
| MiniMax M2.5 MiniMax | MXFP4 | won't run | 148.1 GB | – | – | – | – |
| MiniMax M3 MiniMax | UD-Q4_K_M | won't run | 263.6 GB | – | – | – | – |
| Mistral Medium 3.5 128B Mistral AI | Q4_K_M | won't run | 115.6 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- GPU
- GeForce RTX 5080
- Memory
- 16 GB GDDR7
- Memory bus
- 256-bit
- Memory bandwidth
- 960 GB/s
- FP16 compute
- 113 TFLOPS
- Software
- CUDA
- Board power
- 360 W
- PCIe generation
- Gen 5
- PCIe lanes
- x16
Compare with
Questions
- How much memory does the NVIDIA GeForce RTX 5080 have for AI models?
- The NVIDIA GeForce RTX 5080 has 16 GB of GDDR7 memory with 960 GB/s of bandwidth, which sets how fast it generates text.
- What is the best model the NVIDIA GeForce RTX 5080 can run locally?
- Qwen 3.8 27B (UD-Q6_K) fits fully in its memory at 128k context and generates at about 19 tok/s, an estimate from its memory bandwidth. 39 of the 113 models we track fit at that context.
- Can the NVIDIA GeForce RTX 5080 run DeepSeek V4 Flash?
- No: even at UD-Q2_K_XL, DeepSeek V4 Flash needs about 103 GB at 128k context, more than the NVIDIA GeForce RTX 5080 and system RAM can hold.
- How much does the NVIDIA GeForce RTX 5080 cost in Canada?
- The best new price for the NVIDIA GeForce RTX 5080 in Canada is $2,370 at Amazon; used, it starts at $2,850 (asking price).
Speeds on this page are for 128k context. See the best hardware for local AI at every budget.