NVIDIA GeForce RTX 5060 Ti 8GB vs NVIDIA RTX PRO 2000 Blackwell
In short
The NVIDIA RTX PRO 2000 Blackwell has more memory for models: 16 GB against 8 GB. At 32k context the NVIDIA RTX PRO 2000 Blackwell runs 37 of the models we track fully in memory and the NVIDIA GeForce RTX 5060 Ti 8GB 18; only the NVIDIA RTX PRO 2000 Blackwell holds gpt-oss 20B. On the models both run fully in memory, the NVIDIA GeForce RTX 5060 Ti 8GB is about 1.6× as fast as the NVIDIA RTX PRO 2000 Blackwell (estimated, median across models). In Canada the NVIDIA GeForce RTX 5060 Ti 8GB costs $732 at Amazon and the NVIDIA RTX PRO 2000 Blackwell $2,241 at Amazon: the NVIDIA GeForce RTX 5060 Ti 8GB is $1,509 cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | NVIDIA GeForce RTX 5060 Ti 8GB | NVIDIA RTX PRO 2000 Blackwell |
|---|---|---|
| GPU | GeForce RTX 5060 Ti 8GB | RTX PRO 2000 Blackwell |
| Memory | 8 GB GDDR7 | 16 GB GDDR7 |
| Memory bus | 128-bit | 128-bit |
| Memory bandwidth | 448 GB/s | 288 GB/s |
| FP16 compute | 23.704 TFLOPS | 17.03 TFLOPS |
| Software | CUDA | CUDA |
| Board power | 180 W | 70 W |
| PCIe generation | Gen 5 | Gen 5 |
| PCIe lanes | x8 | x8 |
What each runs
Estimated decode speed with the most precise quant that fits each one est.
| Model | NVIDIA GeForce RTX 5060 Ti 8GB | NVIDIA RTX PRO 2000 Blackwell |
|---|---|---|
| gpt-oss 20B | offload | 33tok/sMXFP4 |
| Gemma 4 12B | offload | 13tok/sQ8_0 |
| Qwen 3.5 9B | 41tok/sQ4_K_M | 17tok/sQ8_0 |
| Ministral 3 14B | offload | 12tok/sQ5_K_M |
| Qwen3 14B | offload | 12tok/sQ4_K_M |
| DeepSeek R1 0528 Qwen3 8B | offload | 13tok/sQ8_0 |
| Qwen3 8B | offload | 13tok/sQ8_0 |
| Qwen 3.5 4B | 50tok/sQ8_0 | 32tok/sQ8_0 |
| Ministral 3 8B | offload | 13tok/sQ8_0 |
| Granite 4.2 8B | offload | 12tok/sQ8_0 |
| Gemma 4 E4B | 43tok/sQ5_K_M | 20tok/sQ8_0 |
| LFM2.5 8B-A1B | 74tok/sMXFP4 | 40tok/sQ8_0 |
| Llama 3.1 8B | offload | 16tok/sQ6_K |
| Qwen2.5 0.5B | 298tok/sQ8_0 | 191tok/sQ8_0 |
| Qwen3.5 0.8B | 225tok/sQ8_0 | 145tok/sQ8_0 |
| Qwen3.5 2B | 150tok/sQ5_K_M | 96tok/sQ5_K_M |
| LFM3 1.7B | 123tok/sQ8_0 | 79tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 1.5B | 98tok/sQ8_0 | 63tok/sQ8_0 |
| MiniCPM5 2B | 68tok/sQ8_0 | 44tok/sQ8_0 |
| Spark X2.5 4B | 65tok/smlx-4bit | 42tok/smlx-4bit |
| LFM2.5 2.6B | 57tok/sQ8_0 | 37tok/sQ8_0 |
| LFM2.5 VL 3B | 57tok/sQ8_0 | 37tok/sQ8_0 |
| FrogNano 4B 2609 | 48tok/sQ8_0 | 31tok/sQ8_0 |
| granite vision 4.1 4b | 44tok/sQ8_0 | 28tok/sQ8_0 |
| Ministral 3 3B Instruct 2512 | 44tok/sQ6_K | 25tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 7B | 42tok/sQ4_K_M | 18tok/sQ8_0 |
| granite 4.2 3b | 42tok/sQ8_0 | 27tok/sQ8_0 |
| Mellum2.1 12B A2.5B Thinking | offload | 34tok/sQ8_0 |
| GLM 4.6V Flash | offload | 16tok/sQ8_0 |
| Kimi VL A3B Thinking 2506 | offload | 36tok/sQ4_K_M |
| GLM 4 9B 0414 | offload | 19tok/smlx-5bit |
| Kimi VL A3B | offload | 30tok/smlx-6bit |
| DeepSeek R1 Distill Llama 8B | offload | 14tok/sQ8_0 |
| Ministral 3 8B Reasoning 2512 | offload | 13tok/sQ8_0 |
| GLM 4.1V 9B Thinking | offload | 14tok/smlx-8bit |
| Ministral 3 14B Reasoning 2512 | offload | 12tok/sQ5_K_M |
| DeepSeek R1 Distill Qwen 14B | offload | 12tok/sQ4_K_M |
| Qwen 3.8 27B | offload | offload |
| Qwen 3.5 122B-A10B | won't run | offload |
| Qwen 3.6 27B | offload | offload |
| Gemma 4 31B | offload | offload |
| Mistral Small 4 119B | won't run | offload |
| Qwen 3.6 35B-A3B | offload | offload |
| Qwen 3.5 27B | offload | offload |
| Gemma 4 26B-A4B | offload | offload |
| Qwen 3.5 35B-A3B | offload | offload |
| GLM 4.7 Flash | offload | offload |
| Devstral Small 2 24B | offload | offload |
| Nemotron 3.5 Lightning 30B-A3B | offload | offload |
| Kimi Linear 48B-A3B | offload | offload |
| Qwen3 Coder 30B-A3B | offload | offload |
| Qwen3 32B | offload | offload |
| Gemma 3 27B | offload | offload |
| Mistral Small 3.2 24B | offload | offload |
| DeepSeek R1 Distill Qwen 32B | offload | offload |
| Phi-4 14B | offload | offload |
| LFM2.5 24B A2B | offload | offload |
| Muse Glimmer 30B | offload | offload |
| Devstral Small 2507 | offload | offload |
| Magistral Small 2506 | offload | offload |
| Magistral Small 2507 | offload | offload |
| Magistral Small 2509 | offload | offload |
| Qwen3.8 27B OBLITERATED | 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 |
| Nemotron 3 Super 120B-A12B | won't run | won't run |
| Qwen3 Coder Next | won't run | won't run |
| gpt-oss 120B | won't run | won't run |
| GLM 4.5 Air | won't run | won't run |
| Qwen3 Next 80B-A3B | 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 5060 Ti 8GB or the NVIDIA RTX PRO 2000 Blackwell?
- Choose the NVIDIA RTX PRO 2000 Blackwell to run bigger models. Choose the NVIDIA GeForce RTX 5060 Ti 8GB for speed. Choose the NVIDIA GeForce RTX 5060 Ti 8GB to spend less.
- Which can run bigger models, the NVIDIA GeForce RTX 5060 Ti 8GB or the NVIDIA RTX PRO 2000 Blackwell?
- At 32k context the NVIDIA RTX PRO 2000 Blackwell runs 37 of the models we track fully in memory and the NVIDIA GeForce RTX 5060 Ti 8GB 18; only the NVIDIA RTX PRO 2000 Blackwell holds gpt-oss 20B.
- Which is faster for local AI, the NVIDIA GeForce RTX 5060 Ti 8GB or the NVIDIA RTX PRO 2000 Blackwell?
- On the models both run fully in memory, the NVIDIA GeForce RTX 5060 Ti 8GB is about 1.6× as fast as the NVIDIA RTX PRO 2000 Blackwell (estimated, median across models).
- What is the price difference between the NVIDIA GeForce RTX 5060 Ti 8GB and the NVIDIA RTX PRO 2000 Blackwell?
- In Canada the NVIDIA GeForce RTX 5060 Ti 8GB costs $732 at Amazon and the NVIDIA RTX PRO 2000 Blackwell $2,241 at Amazon: the NVIDIA GeForce RTX 5060 Ti 8GB is $1,509 cheaper.
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