NVIDIA GeForce RTX 5090 vs NVIDIA RTX PRO 5000 Blackwell 72GB
In short
The NVIDIA RTX PRO 5000 Blackwell 72GB has more memory for models: 72 GB against 32 GB. At 64k context the NVIDIA RTX PRO 5000 Blackwell 72GB runs 70 of the models we track fully in memory and the NVIDIA GeForce RTX 5090 58; only the NVIDIA RTX PRO 5000 Blackwell 72GB holds Qwen 3.5 122B-A10B. On the models both run fully in memory, the NVIDIA GeForce RTX 5090 is about 1.3× as fast as the NVIDIA RTX PRO 5000 Blackwell 72GB (estimated, median across models). In Canada the NVIDIA GeForce RTX 5090 costs $10,000 at eBay and the NVIDIA RTX PRO 5000 Blackwell 72GB $13,470 at Amazon: the NVIDIA GeForce RTX 5090 is $3,470 cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | NVIDIA GeForce RTX 5090 | NVIDIA RTX PRO 5000 Blackwell 72GB |
|---|---|---|
| GPU | GeForce RTX 5090 | RTX PRO 5000 Blackwell 72GB |
| Memory | 32 GB GDDR7 | 72 GB GDDR7 |
| Memory bus | 512-bit | 384-bit |
| Memory bandwidth | 1,792 GB/s | 1,344 GB/s |
| FP16 compute | 209 TFLOPS | 73.69 TFLOPS |
| Software | CUDA | CUDA |
| Board power | 575 W | 300 W |
| PCIe generation | Gen 5 | Gen 5 |
| PCIe lanes | x16 | x16 |
What each runs
Estimated decode speed with the most precise quant that fits each one est.
| Model | NVIDIA GeForce RTX 5090 | NVIDIA RTX PRO 5000 Blackwell 72GB |
|---|---|---|
| Qwen 3.8 27B | 39tok/sQ6_K | 25tok/sQ8_0 |
| Qwen 3.5 122B-A10B | offload | 80tok/sQ3_K_M |
| Qwen 3.6 27B | 41tok/sQ6_K | 25tok/sQ8_0 |
| Gemma 4 31B | 35tok/sQ6_K | 22tok/sQ8_0 |
| Qwen3 Coder Next | offload | 103tok/sQ6_K |
| Nemotron 3 Super 120B-A12B | offload | 75tok/sUD-Q3_K_M |
| gpt-oss 120B | won't run | 90tok/sMXFP4 |
| Mistral Small 4 119B | offload | 85tok/sUD-Q4_K_M |
| Qwen 3.6 35B-A3B | 167tok/sQ6_K | 112tok/sQ8_0 |
| Qwen 3.5 27B | 41tok/sQ6_K | 25tok/sQ8_0 |
| Gemma 4 26B-A4B | 117tok/sQ8_0 | 88tok/sQ8_0 |
| GLM 4.5 Air | offload | 26tok/sQ3_K_M |
| Qwen 3.5 35B-A3B | 175tok/sQ6_K | 112tok/sQ8_0 |
| GLM 4.7 Flash | 87tok/sQ6_K | 57tok/sQ8_0 |
| Devstral Small 2 24B | 37tok/sQ6_K | 23tok/sQ8_0 |
| Qwen3 Next 80B-A3B | offload | 122tok/sQ6_K |
| Nemotron 3.5 Lightning 30B-A3B | 201tok/sUD-Q5_K_M | 132tok/sUD-Q6_K_XL |
| Kimi Linear 48B-A3B | 277tok/sQ4_K_M | 133tok/sQ8_0 |
| gpt-oss 20B | 165tok/sMXFP4 | 124tok/sMXFP4 |
| Qwen3 Coder 30B-A3B | 75tok/sQ6_K | 52tok/sQ8_0 |
| Qwen3 32B | offload | 16tok/sQ8_0 |
| Gemma 4 12B | 79tok/sQ8_0 | 59tok/sQ8_0 |
| Qwen 3.5 9B | 95tok/sQ8_0 | 71tok/sQ8_0 |
| Gemma 3 27B | 40tok/sQ6_K | 24tok/sQ8_0 |
| Mistral Small 3.2 24B | 37tok/sQ6_K | 23tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 32B | offload | 16tok/sQ8_0 |
| Llama 3.3 70B | won't run | 12tok/sQ5_K_M |
| Ministral 3 14B | 44tok/sQ8_0 | 33tok/sQ8_0 |
| Qwen3 14B | 42tok/sQ8_0 | 32tok/sQ8_0 |
| DeepSeek R1 0528 Qwen3 8B | 61tok/sQ8_0 | 45tok/sQ8_0 |
| Qwen3 8B | 61tok/sQ8_0 | 45tok/sQ8_0 |
| Phi-4 14B | 38tok/sQ8_0 | 29tok/sQ8_0 |
| Qwen 3.5 4B | 166tok/sQ8_0 | 125tok/sQ8_0 |
| Ministral 3 8B | 61tok/sQ8_0 | 46tok/sQ8_0 |
| Granite 4.2 8B | 55tok/sQ8_0 | 42tok/sQ8_0 |
| Gemma 4 E4B | 110tok/sQ8_0 | 82tok/sQ8_0 |
| LFM2.5 8B-A1B | 156tok/sQ8_0 | 117tok/sQ8_0 |
| Llama 3.1 8B | 73tok/sQ6_K | 55tok/sQ6_K |
| Qwen2.5 0.5B | 831tok/sQ8_0 | 624tok/sQ8_0 |
| Qwen3.5 0.8B | 679tok/sQ8_0 | 509tok/sQ8_0 |
| Qwen3.5 2B | 492tok/sQ5_K_M | 369tok/sQ5_K_M |
| DeepSeek R1 Distill Qwen 1.5B | 294tok/sQ8_0 | 221tok/sQ8_0 |
| MiniCPM5 2B | 202tok/sQ8_0 | 152tok/sQ8_0 |
| Spark X2.5 4B | 202tok/smlx-4bit | 151tok/smlx-4bit |
| Mellum2.1 12B A2.5B Thinking | 183tok/sQ8_0 | 137tok/sQ8_0 |
| FrogNano 4B 2609 | 163tok/sQ8_0 | 122tok/sQ8_0 |
| LFM2.5 2.6B | 161tok/sQ8_0 | 121tok/sQ8_0 |
| LFM2.5 VL 3B | 161tok/sQ8_0 | 121tok/sQ8_0 |
| Kimi VL A3B Thinking 2506 | 130tok/sQ8_0 | 97tok/sQ8_0 |
| Kimi VL A3B | 126tok/smlx-8bit | 94tok/smlx-8bit |
| granite vision 4.1 4b | 124tok/sQ8_0 | 93tok/sQ8_0 |
| granite 4.2 3b | 120tok/sQ8_0 | 90tok/sQ8_0 |
| Ministral 3 3B Instruct 2512 | 105tok/sQ8_0 | 78tok/sQ8_0 |
| GLM 4 9B 0414 | 102tok/smlx-5bit | 76tok/smlx-5bit |
| DeepSeek R1 Distill Qwen 7B | 94tok/sQ8_0 | 70tok/sQ8_0 |
| LFM2.5 24B A2B | 89tok/sQ8_0 | 67tok/sQ8_0 |
| GLM 4.6V Flash | 88tok/sQ8_0 | 66tok/sQ8_0 |
| GLM 4.1V 9B Thinking | 77tok/smlx-8bit | 58tok/smlx-8bit |
| DeepSeek R1 Distill Llama 8B | 65tok/sQ8_0 | 49tok/sQ8_0 |
| Ministral 3 8B Reasoning 2512 | 61tok/sQ8_0 | 46tok/sQ8_0 |
| Muse Glimmer 30B | 46tok/sQ6_K | 25tok/sQ8_0 |
| Ministral 3 14B Reasoning 2512 | 44tok/sQ8_0 | 33tok/sQ8_0 |
| Qwen3.8 27B OBLITERATED | 44tok/smlx-4bit | 33tok/smlx-4bit |
| Devstral Small 2507 | 40tok/sQ5_K_M | 23tok/sQ8_0 |
| Magistral Small 2507 | 40tok/sQ5_K_M | 23tok/sQ8_0 |
| Magistral Small 2509 | 40tok/sQ5_K_M | 23tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 14B | 39tok/sQ8_0 | 29tok/sQ8_0 |
| Magistral Small 2506 | 37tok/sQ6_K | 23tok/sQ8_0 |
| granite 4.2 30b | offload | 17tok/sQ8_0 |
| DeepSeek R1 Distill Llama 70B | won't run | 12tok/sQ5_K_M |
| DeepSeek V4 Flash | won't run | offload |
| Qwen 3.8 Flash Next | won't run | offload |
| MiniMax M2.7 | won't run | offload |
| Devstral 2 123B Instruct 2512 | won't run | offload |
| GLM 4.5V | won't run | offload |
| GLM 4.6V | won't run | offload |
| Kimi Dev 72B | won't run | offload |
| Mistral Medium 3.5 128B | won't run | offload |
| GLM 5.3 Flash | won't run | won't run |
| DeepSeek R1 | won't run | won't run |
| DeepSeek R1 0528 | won't run | won't run |
| DeepSeek R1 Zero | won't run | won't run |
| DeepSeek V3 | won't run | won't run |
| DeepSeek V3 0324 | won't run | won't run |
| DeepSeek V3.1 | won't run | won't run |
| DeepSeek V3.1 Terminus | won't run | won't run |
| DeepSeek V3.2 | won't run | won't run |
| DeepSeek V4 Flash 0731 | won't run | won't run |
| DeepSeek V4 Flash Vision Exp | won't run | won't run |
| GLM 4.5 | won't run | won't run |
| GLM 4.6 | won't run | won't run |
| GLM 4.7 | won't run | won't run |
| GLM 5 | won't run | won't run |
| GLM 5.1 | won't run | won't run |
| GLM 5.2 | won't run | won't run |
| GLM 5.3 | won't run | won't run |
| Kimi K2 | won't run | won't run |
| Kimi K2 Instruct 0905 | won't run | won't run |
| Kimi K2 Thinking | won't run | won't run |
| Kimi K2.5 | won't run | won't run |
| MiniMax M2 | won't run | won't run |
| MiniMax M2.1 | won't run | won't run |
| MiniMax M2.5 | won't run | won't run |
| MiniMax M3 | won't run | won't run |
Questions
- Which is better for local AI, the NVIDIA GeForce RTX 5090 or the NVIDIA RTX PRO 5000 Blackwell 72GB?
- Choose the NVIDIA RTX PRO 5000 Blackwell 72GB to run bigger models. Choose the NVIDIA GeForce RTX 5090 for speed. Choose the NVIDIA GeForce RTX 5090 to spend less.
- Which can run bigger models, the NVIDIA GeForce RTX 5090 or the NVIDIA RTX PRO 5000 Blackwell 72GB?
- At 64k context the NVIDIA RTX PRO 5000 Blackwell 72GB runs 70 of the models we track fully in memory and the NVIDIA GeForce RTX 5090 58; only the NVIDIA RTX PRO 5000 Blackwell 72GB holds Qwen 3.5 122B-A10B.
- Which is faster for local AI, the NVIDIA GeForce RTX 5090 or the NVIDIA RTX PRO 5000 Blackwell 72GB?
- On the models both run fully in memory, the NVIDIA GeForce RTX 5090 is about 1.3× as fast as the NVIDIA RTX PRO 5000 Blackwell 72GB (estimated, median across models).
- What is the price difference between the NVIDIA GeForce RTX 5090 and the NVIDIA RTX PRO 5000 Blackwell 72GB?
- In Canada the NVIDIA GeForce RTX 5090 costs $10,000 at eBay and the NVIDIA RTX PRO 5000 Blackwell 72GB $13,470 at Amazon: the NVIDIA GeForce RTX 5090 is $3,470 cheaper.
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