Intel Arc Pro B60 vs NVIDIA RTX PRO 4000 Blackwell
In short
Both have 24 GB of memory for models; the Intel Arc Pro B60 has 456 GB/s of bandwidth and the NVIDIA RTX PRO 4000 Blackwell 672 GB/s. At 64k context the NVIDIA RTX PRO 4000 Blackwell runs 48 of the models we track fully in memory and the Intel Arc Pro B60 47; only the NVIDIA RTX PRO 4000 Blackwell holds Nemotron 3.5 Lightning 30B-A3B. On the models both run fully in memory, the NVIDIA RTX PRO 4000 Blackwell is about 1.8× as fast as the Intel Arc Pro B60 (estimated, median across models). In Canada the Intel Arc Pro B60 costs $1,932 at Amazon and the NVIDIA RTX PRO 4000 Blackwell $2,810 at Amazon: the Intel Arc Pro B60 is $878 cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | Intel Arc Pro B60 | NVIDIA RTX PRO 4000 Blackwell |
|---|---|---|
| GPU | Arc Pro B60 | RTX PRO 4000 Blackwell |
| Memory | 24 GB GDDR6 | 24 GB GDDR7 |
| Memory bus | 192-bit | 192-bit |
| Memory bandwidth | 456 GB/s | 672 GB/s |
| FP16 compute | 98.5 TFLOPS | 46.9 TFLOPS |
| Software | SYCL / oneAPI | CUDA |
| Board power | 200 W | 145 W |
| PCIe generation | Gen 5 | Gen 5 |
| PCIe lanes | x8 | x16 |
What each runs
Estimated decode speed with the most precise quant that fits each one est.
| Model | Intel Arc Pro B60 | NVIDIA RTX PRO 4000 Blackwell |
|---|---|---|
| Qwen 3.8 27B | 10tok/sQ4_K_M | 19tok/sQ4_K_M |
| Qwen 3.6 27B | 11tok/sQ4_K_M | 17tok/sQ5_K_M |
| Qwen 3.6 35B-A3B | 39tok/sUD-Q4_K_M | 77tok/sQ4_K_M |
| Qwen 3.5 27B | 11tok/sQ4_K_M | 20tok/sQ4_K_M |
| Gemma 4 26B-A4B | 26tok/sUD-Q5_K_M | 52tok/sUD-Q5_K_M |
| Qwen 3.5 35B-A3B | 39tok/sQ4_K_M | 77tok/sQ4_K_M |
| GLM 4.7 Flash | 19tok/sQ4_K_M | 38tok/sQ4_K_M |
| Nemotron 3.5 Lightning 30B-A3B | offload | 94tok/sMXFP4 |
| gpt-oss 20B | 31tok/sMXFP4 | 62tok/sMXFP4 |
| Gemma 4 12B | 16tok/sQ8_0 | 30tok/sQ8_0 |
| Qwen 3.5 9B | 19tok/sQ8_0 | 36tok/sQ8_0 |
| Gemma 3 27B | 10tok/sQ4_K_M | 19tok/sQ4_K_M |
| Ministral 3 14B | 10tok/sQ6_K | 19tok/sQ6_K |
| Qwen3 14B | 10tok/sQ6_K | 18tok/sQ6_K |
| DeepSeek R1 0528 Qwen3 8B | 12tok/sQ8_0 | 23tok/sQ8_0 |
| Qwen3 8B | 12tok/sQ8_0 | 23tok/sQ8_0 |
| Phi-4 14B | 10tok/sQ4_K_M | 18tok/sQ5_K_M |
| Qwen 3.5 4B | 34tok/sQ8_0 | 62tok/sQ8_0 |
| Ministral 3 8B | 13tok/sQ8_0 | 23tok/sQ8_0 |
| Granite 4.2 8B | 11tok/sQ8_0 | 21tok/sQ8_0 |
| Gemma 4 E4B | 23tok/sQ8_0 | 41tok/sQ8_0 |
| LFM2.5 8B-A1B | 29tok/sQ8_0 | 58tok/sQ8_0 |
| Llama 3.1 8B | 15tok/sQ6_K | 27tok/sQ6_K |
| Qwen2.5 0.5B | 171tok/sQ8_0 | 312tok/sQ8_0 |
| Qwen3.5 0.8B | 139tok/sQ8_0 | 255tok/sQ8_0 |
| Qwen3.5 2B | 101tok/sQ5_K_M | 184tok/sQ5_K_M |
| DeepSeek R1 Distill Qwen 1.5B | 60tok/sQ8_0 | 110tok/sQ8_0 |
| MiniCPM5 2B | 42tok/sQ8_0 | 76tok/sQ8_0 |
| Spark X2.5 4B | 41tok/smlx-4bit | 76tok/smlx-4bit |
| Mellum2.1 12B A2.5B Thinking | 34tok/sQ8_0 | 69tok/sQ8_0 |
| FrogNano 4B 2609 | 33tok/sQ8_0 | 61tok/sQ8_0 |
| LFM2.5 2.6B | 33tok/sQ8_0 | 60tok/sQ8_0 |
| LFM2.5 VL 3B | 33tok/sQ8_0 | 60tok/sQ8_0 |
| granite vision 4.1 4b | 25tok/sQ8_0 | 46tok/sQ8_0 |
| granite 4.2 3b | 25tok/sQ8_0 | 45tok/sQ8_0 |
| Kimi VL A3B Thinking 2506 | 24tok/sQ8_0 | 49tok/sQ8_0 |
| Kimi VL A3B | 24tok/smlx-8bit | 47tok/smlx-8bit |
| Ministral 3 3B Instruct 2512 | 21tok/sQ8_0 | 39tok/sQ8_0 |
| GLM 4 9B 0414 | 21tok/smlx-5bit | 38tok/smlx-5bit |
| DeepSeek R1 Distill Qwen 7B | 19tok/sQ8_0 | 35tok/sQ8_0 |
| LFM2.5 24B A2B | 19tok/sQ4_K_M | 36tok/sQ5_K_M |
| GLM 4.6V Flash | 18tok/sQ8_0 | 33tok/sQ8_0 |
| GLM 4.1V 9B Thinking | 16tok/smlx-8bit | 29tok/smlx-8bit |
| DeepSeek R1 Distill Llama 8B | 13tok/sQ8_0 | 24tok/sQ8_0 |
| Ministral 3 8B Reasoning 2512 | 13tok/sQ8_0 | 23tok/sQ8_0 |
| Muse Glimmer 30B | 11tok/sQ5_K_M | 20tok/sQ5_K_M |
| Ministral 3 14B Reasoning 2512 | 10tok/sQ6_K | 19tok/sQ6_K |
| DeepSeek R1 Distill Qwen 14B | 10tok/sQ5_K_M | 18tok/sQ5_K_M |
| Qwen 3.5 122B-A10B | offload | offload |
| Qwen3 Coder Next | offload | offload |
| Gemma 4 31B | offload | offload |
| Mistral Small 4 119B | offload | offload |
| Qwen3 Next 80B-A3B | offload | offload |
| Devstral Small 2 24B | offload | offload |
| Kimi Linear 48B-A3B | offload | offload |
| Qwen3 Coder 30B-A3B | offload | offload |
| Qwen3 32B | offload | offload |
| Mistral Small 3.2 24B | offload | offload |
| DeepSeek R1 Distill Qwen 32B | 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 |
| gpt-oss 120B | won't run | won't run |
| GLM 4.5 Air | 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 Intel Arc Pro B60 or the NVIDIA RTX PRO 4000 Blackwell?
- Choose the NVIDIA RTX PRO 4000 Blackwell to run bigger models. Choose the NVIDIA RTX PRO 4000 Blackwell for speed. Choose the Intel Arc Pro B60 to spend less.
- Which can run bigger models, the Intel Arc Pro B60 or the NVIDIA RTX PRO 4000 Blackwell?
- At 64k context the NVIDIA RTX PRO 4000 Blackwell runs 48 of the models we track fully in memory and the Intel Arc Pro B60 47; only the NVIDIA RTX PRO 4000 Blackwell holds Nemotron 3.5 Lightning 30B-A3B.
- Which is faster for local AI, the Intel Arc Pro B60 or the NVIDIA RTX PRO 4000 Blackwell?
- On the models both run fully in memory, the NVIDIA RTX PRO 4000 Blackwell is about 1.8× as fast as the Intel Arc Pro B60 (estimated, median across models).
- What is the price difference between the Intel Arc Pro B60 and the NVIDIA RTX PRO 4000 Blackwell?
- In Canada the Intel Arc Pro B60 costs $1,932 at Amazon and the NVIDIA RTX PRO 4000 Blackwell $2,810 at Amazon: the Intel Arc Pro B60 is $878 cheaper.
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