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 8k context the NVIDIA RTX PRO 2000 Blackwell runs 44 of the models we track fully in memory and the NVIDIA GeForce RTX 5060 Ti 8GB 26; only the NVIDIA RTX PRO 2000 Blackwell holds Devstral Small 2 24B. 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 |
|---|---|---|
| Devstral Small 2 24B | offload | 11tok/sQ4_K_M |
| gpt-oss 20B | offload | 41tok/sMXFP4 |
| Gemma 4 12B | offload | 14tok/sQ8_0 |
| Qwen 3.5 9B | 40tok/sQ5_K_M | 18tok/sQ8_0 |
| Mistral Small 3.2 24B | offload | 11tok/sQ4_K_M |
| Ministral 3 14B | offload | 11tok/sQ8_0 |
| Qwen3 14B | offload | 13tok/sQ6_K |
| DeepSeek R1 0528 Qwen3 8B | 39tok/sQ5_K_M | 18tok/sQ8_0 |
| Qwen3 8B | 39tok/sQ5_K_M | 18tok/sQ8_0 |
| Phi-4 14B | offload | 13tok/sQ6_K |
| Qwen 3.5 4B | 58tok/sQ8_0 | 37tok/sQ8_0 |
| Ministral 3 8B | 44tok/sQ4_K_M | 18tok/sQ8_0 |
| Granite 4.2 8B | 40tok/sQ4_K_M | 17tok/sQ8_0 |
| Gemma 4 E4B | 48tok/sQ5_K_M | 21tok/sQ8_0 |
| LFM2.5 8B-A1B | 144tok/sUD-Q5_K_M | 73tok/sQ8_0 |
| Llama 3.1 8B | 41tok/sQ5_K_M | 23tok/sQ6_K |
| Qwen2.5 0.5B | 440tok/sQ8_0 | 283tok/sQ8_0 |
| Qwen3.5 0.8B | 298tok/sQ8_0 | 192tok/sQ8_0 |
| Qwen3.5 2B | 179tok/sQ5_K_M | 115tok/sQ5_K_M |
| LFM3 1.7B | 142tok/sQ8_0 | 91tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 1.5B | 130tok/sQ8_0 | 84tok/sQ8_0 |
| MiniCPM5 2B | 92tok/sQ8_0 | 59tok/sQ8_0 |
| LFM2.5 2.6B | 82tok/sQ8_0 | 53tok/sQ8_0 |
| LFM2.5 VL 3B | 82tok/sQ8_0 | 53tok/sQ8_0 |
| Spark X2.5 4B | 82tok/smlx-4bit | 53tok/smlx-4bit |
| granite vision 4.1 4b | 65tok/sQ8_0 | 42tok/sQ8_0 |
| Ministral 3 3B Instruct 2512 | 61tok/sQ8_0 | 40tok/sQ8_0 |
| granite 4.2 3b | 61tok/sQ8_0 | 39tok/sQ8_0 |
| FrogNano 4B 2609 | 56tok/sQ8_0 | 36tok/sQ8_0 |
| Ministral 3 8B Reasoning 2512 | 44tok/sQ4_K_M | 18tok/sQ8_0 |
| GLM 4.6V Flash | 43tok/sQ4_K_M | 17tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 7B | 41tok/sQ6_K | 21tok/sQ8_0 |
| DeepSeek R1 Distill Llama 8B | 41tok/sQ5_K_M | 19tok/sQ8_0 |
| Mellum2.1 12B A2.5B Thinking | offload | 38tok/sQ8_0 |
| GLM 4 9B 0414 | offload | 21tok/smlx-5bit |
| Kimi VL A3B Thinking 2506 | offload | 49tok/sQ4_K_M |
| Kimi VL A3B | offload | 39tok/smlx-6bit |
| Ministral 3 14B Reasoning 2512 | offload | 11tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 14B | offload | 13tok/sQ6_K |
| GLM 4.1V 9B Thinking | offload | 15tok/smlx-8bit |
| Devstral Small 2507 | offload | 11tok/sQ4_K_M |
| Magistral Small 2506 | offload | 11tok/sQ4_K_M |
| Magistral Small 2507 | offload | 11tok/sQ4_K_M |
| Magistral Small 2509 | offload | 11tok/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 |
| 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 |
| DeepSeek R1 Distill Qwen 32B | offload | offload |
| LFM2.5 24B A2B | offload | offload |
| Muse Glimmer 30B | offload | offload |
| granite 4.2 30b | offload | offload |
| Qwen3.8 27B OBLITERATED | 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 8k context the NVIDIA RTX PRO 2000 Blackwell runs 44 of the models we track fully in memory and the NVIDIA GeForce RTX 5060 Ti 8GB 26; only the NVIDIA RTX PRO 2000 Blackwell holds Devstral Small 2 24B.
- 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.
More comparisons
- Intel Arc Pro B60 vs NVIDIA RTX PRO 2000 Blackwell
- NVIDIA GeForce RTX 3080 10GB vs NVIDIA GeForce RTX 5060 Ti 8GB
- NVIDIA GeForce RTX 4060 Ti 16GB vs NVIDIA RTX PRO 2000 Blackwell
- NVIDIA GeForce RTX 4070 Super vs NVIDIA GeForce RTX 5060 Ti 8GB
- NVIDIA GeForce RTX 4080 Super vs NVIDIA RTX PRO 2000 Blackwell
- NVIDIA GeForce RTX 5050 vs NVIDIA GeForce RTX 5060 Ti 8GB
- NVIDIA GeForce RTX 5060 vs NVIDIA GeForce RTX 5060 Ti 8GB
- NVIDIA GeForce RTX 5060 Ti 8GB vs AMD Radeon RX 7800 XT
- NVIDIA RTX PRO 2000 Blackwell vs AMD Radeon RX 7600 XT
- NVIDIA RTX PRO 2000 Blackwell vs AMD Radeon RX 9060 XT 16GB