NVIDIA GeForce RTX 5090 vs NVIDIA RTX PRO 2000 Blackwell
For running models locally, priced in the US. At 64k context the first runs 59 models fully in memory, the second 32.
In short
The NVIDIA GeForce RTX 5090 has more memory for models: 32 GB against 16 GB. At 64k context the NVIDIA GeForce RTX 5090 runs 59 of the models we track fully in memory and the NVIDIA RTX PRO 2000 Blackwell 32; only the NVIDIA GeForce RTX 5090 holds Qwen 3.8 27B. On the models both run fully in memory, the NVIDIA GeForce RTX 5090 is about 6.2× as fast as the NVIDIA RTX PRO 2000 Blackwell (estimated, median across models). In the US the NVIDIA GeForce RTX 5090 costs $6,900 at eBay and the NVIDIA RTX PRO 2000 Blackwell $1,540 at eBay: the NVIDIA RTX PRO 2000 Blackwell is $5,360 cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | NVIDIA GeForce RTX 5090 | NVIDIA RTX PRO 2000 Blackwell |
|---|---|---|
| GPU | GeForce RTX 5090 | RTX PRO 2000 Blackwell |
| Memory | 32 GB GDDR7 | 16 GB GDDR7 |
| Memory bus | 512-bit | 128-bit |
| Memory bandwidth | 1,792 GB/s | 288 GB/s |
| FP16 compute | 209 TFLOPS | 17.03 TFLOPS |
| Software | CUDA | CUDA |
| Board power | 575 W | 70 W |
| PCIe generation | Gen 5 | Gen 5 |
| PCIe lanes | x16 | x8 |
What each runs
Estimated decode speed with the most precise quant that fits each one est.
| Model | NVIDIA GeForce RTX 5090 | NVIDIA RTX PRO 2000 Blackwell |
|---|---|---|
| Qwen 3.8 27B | 39tok/sQ6_K | offload |
| Qwen 3.6 27B | 41tok/sQ6_K | offload |
| Gemma 4 31B | 35tok/sQ6_K | offload |
| Qwen 3.6 35B-A3B | 167tok/sQ6_K | offload |
| Qwen 3.5 27B | 41tok/sQ6_K | offload |
| Gemma 4 26B-A4B | 117tok/sQ8_0 | offload |
| Qwen 3.5 35B-A3B | 175tok/sQ6_K | offload |
| GLM 4.7 Flash | 87tok/sQ6_K | offload |
| Devstral Small 2 24B | 37tok/sQ6_K | offload |
| Nemotron 3.5 Lightning 30B-A3B | 201tok/sUD-Q5_K_M | offload |
| Kimi Linear 48B-A3B | 277tok/sQ4_K_M | offload |
| gpt-oss 20B | 165tok/sMXFP4 | 27tok/sMXFP4 |
| Qwen3 Coder 30B-A3B | 75tok/sQ6_K | offload |
| Gemma 4 12B | 79tok/sQ8_0 | 13tok/sQ8_0 |
| Qwen 3.5 9B | 95tok/sQ8_0 | 15tok/sQ8_0 |
| Gemma 3 27B | 40tok/sQ6_K | offload |
| Mistral Small 3.2 24B | 37tok/sQ6_K | offload |
| Ministral 3 14B | 44tok/sQ8_0 | offload |
| Qwen3 14B | 42tok/sQ8_0 | offload |
| DeepSeek R1 0528 Qwen3 8B | 61tok/sQ8_0 | 12tok/sQ4_K_M |
| Qwen3 8B | 61tok/sQ8_0 | 12tok/sQ4_K_M |
| Phi-4 14B | 38tok/sQ8_0 | offload |
| Qwen 3.5 4B | 166tok/sQ8_0 | 27tok/sQ8_0 |
| Ministral 3 8B | 61tok/sQ8_0 | 12tok/sQ5_K_M |
| Granite 4.2 8B | 55tok/sQ8_0 | offload |
| Gemma 4 E4B | 110tok/sQ8_0 | 18tok/sQ8_0 |
| LFM2.5 8B-A1B | 156tok/sQ8_0 | 25tok/sQ8_0 |
| Llama 3.1 8B | 73tok/sQ6_K | 12tok/sQ6_K |
| Qwen2.5 0.5B | 831tok/sQ8_0 | 134tok/sQ8_0 |
| Qwen3.5 0.8B | 679tok/sQ8_0 | 109tok/sQ8_0 |
| Qwen3.5 2B | 492tok/sQ5_K_M | 79tok/sQ5_K_M |
| LFM3 1.7B | 418tok/sQ8_0 | 67tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 1.5B | 294tok/sQ8_0 | 47tok/sQ8_0 |
| MiniCPM5 2B | 202tok/sQ8_0 | 33tok/sQ8_0 |
| Spark X2.5 4B | 202tok/smlx-4bit | 32tok/smlx-4bit |
| Mellum2.1 12B A2.5B Thinking | 183tok/sQ8_0 | 29tok/sQ8_0 |
| FrogNano 4B 2609 | 163tok/sQ8_0 | 26tok/sQ8_0 |
| LFM2.5 2.6B | 161tok/sQ8_0 | 26tok/sQ8_0 |
| LFM2.5 VL 3B | 161tok/sQ8_0 | 26tok/sQ8_0 |
| Kimi VL A3B Thinking 2506 | 130tok/sQ8_0 | 27tok/sQ4_K_M |
| Kimi VL A3B | 126tok/smlx-8bit | 26tok/smlx-5bit |
| granite vision 4.1 4b | 124tok/sQ8_0 | 20tok/sQ8_0 |
| granite 4.2 3b | 120tok/sQ8_0 | 19tok/sQ8_0 |
| Ministral 3 3B Instruct 2512 | 105tok/sQ8_0 | 17tok/sQ8_0 |
| GLM 4 9B 0414 | 102tok/smlx-5bit | 16tok/smlx-5bit |
| DeepSeek R1 Distill Qwen 7B | 94tok/sQ8_0 | 15tok/sQ8_0 |
| LFM2.5 24B A2B | 89tok/sQ8_0 | offload |
| GLM 4.6V Flash | 88tok/sQ8_0 | 14tok/sQ8_0 |
| GLM 4.1V 9B Thinking | 77tok/smlx-8bit | 12tok/smlx-8bit |
| DeepSeek R1 Distill Llama 8B | 65tok/sQ8_0 | 12tok/sQ6_K |
| Ministral 3 8B Reasoning 2512 | 61tok/sQ8_0 | 12tok/sQ5_K_M |
| Muse Glimmer 30B | 46tok/sQ6_K | offload |
| Ministral 3 14B Reasoning 2512 | 44tok/sQ8_0 | offload |
| Qwen3.8 27B OBLITERATED | 44tok/smlx-4bit | offload |
| Devstral Small 2507 | 40tok/sQ5_K_M | offload |
| Magistral Small 2507 | 40tok/sQ5_K_M | offload |
| Magistral Small 2509 | 40tok/sQ5_K_M | offload |
| DeepSeek R1 Distill Qwen 14B | 39tok/sQ8_0 | offload |
| Magistral Small 2506 | 37tok/sQ6_K | offload |
| Qwen 3.5 122B-A10B | offload | won't run |
| Qwen3 Coder Next | offload | won't run |
| Nemotron 3 Super 120B-A12B | offload | won't run |
| Mistral Small 4 119B | offload | offload |
| GLM 4.5 Air | offload | won't run |
| Qwen3 Next 80B-A3B | offload | won't run |
| Qwen3 32B | offload | offload |
| DeepSeek R1 Distill Qwen 32B | offload | offload |
| granite 4.2 30b | offload | offload |
| DeepSeek V4 Flash | won't run | won't run |
| GLM 5.3 Flash | won't run | won't run |
| Qwen 3.8 Flash Next | won't run | won't run |
| MiniMax M2.7 | won't run | won't run |
| gpt-oss 120B | won't run | won't run |
| Llama 3.3 70B | 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 Distill Llama 70B | 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 |
| Devstral 2 123B Instruct 2512 | won't run | won't run |
| GLM 4.5 | won't run | won't run |
| GLM 4.5V | won't run | won't run |
| GLM 4.6 | won't run | won't run |
| GLM 4.6V | 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 Dev 72B | 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 |
| Mistral Medium 3.5 128B | won't run | won't run |
Questions
- Which is better for local AI, the NVIDIA GeForce RTX 5090 or the NVIDIA RTX PRO 2000 Blackwell?
- Choose the NVIDIA GeForce RTX 5090 to run bigger models. Choose the NVIDIA GeForce RTX 5090 for speed. Choose the NVIDIA RTX PRO 2000 Blackwell to spend less.
- Which can run bigger models, the NVIDIA GeForce RTX 5090 or the NVIDIA RTX PRO 2000 Blackwell?
- At 64k context the NVIDIA GeForce RTX 5090 runs 59 of the models we track fully in memory and the NVIDIA RTX PRO 2000 Blackwell 32; only the NVIDIA GeForce RTX 5090 holds Qwen 3.8 27B.
- Which is faster for local AI, the NVIDIA GeForce RTX 5090 or the NVIDIA RTX PRO 2000 Blackwell?
- On the models both run fully in memory, the NVIDIA GeForce RTX 5090 is about 6.2× as fast as the NVIDIA RTX PRO 2000 Blackwell (estimated, median across models).
- What is the price difference between the NVIDIA GeForce RTX 5090 and the NVIDIA RTX PRO 2000 Blackwell?
- In the US the NVIDIA GeForce RTX 5090 costs $6,900 at eBay and the NVIDIA RTX PRO 2000 Blackwell $1,540 at eBay: the NVIDIA RTX PRO 2000 Blackwell is $5,360 cheaper.
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