Intel Arc Pro B60 vs NVIDIA RTX PRO 4000 Blackwell
For running models locally, priced in the US. At 128k context the first runs 29 models fully in memory, the second 31.
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 128k context the NVIDIA RTX PRO 4000 Blackwell runs 31 of the models we track fully in memory and the Intel Arc Pro B60 29; only the NVIDIA RTX PRO 4000 Blackwell holds Ministral 3 8B. 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).
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 |
|---|---|---|
| Gemma 4 26B-A4B | 21tok/sQ5_K_M | 43tok/sQ5_K_M |
| gpt-oss 20B | 22tok/sMXFP4 | 44tok/sMXFP4 |
| Gemma 4 12B | 15tok/sQ8_0 | 28tok/sQ8_0 |
| Qwen 3.5 9B | 16tok/sQ8_0 | 30tok/sQ8_0 |
| Qwen 3.5 4B | 26tok/sQ8_0 | 47tok/sQ8_0 |
| Ministral 3 8B | offload | 18tok/sQ4_K_M |
| Gemma 4 E4B | 19tok/sQ8_0 | 35tok/sQ8_0 |
| LFM2.5 8B-A1B | 17tok/sQ8_0 | 33tok/sQ8_0 |
| Llama 3.1 8B | 10tok/sQ5_K_M | 18tok/sQ5_K_M |
| Qwen2.5 0.5B | 107tok/sQ8_0 | 195tok/sQ8_0 |
| Qwen3.5 0.8B | 93tok/sQ8_0 | 171tok/sQ8_0 |
| Qwen3.5 2B | 74tok/sQ5_K_M | 136tok/sQ5_K_M |
| DeepSeek R1 Distill Qwen 1.5B | 40tok/sQ8_0 | 74tok/sQ8_0 |
| Spark X2.5 4B | 29tok/smlx-4bit | 53tok/smlx-4bit |
| Mellum2.1 12B A2.5B Thinking | 27tok/sQ8_0 | 55tok/sQ8_0 |
| MiniCPM5 2B | 27tok/sQ8_0 | 50tok/sQ8_0 |
| FrogNano 4B 2609 | 25tok/sQ8_0 | 47tok/sQ8_0 |
| LFM2.5 2.6B | 21tok/sQ8_0 | 38tok/sQ8_0 |
| LFM2.5 VL 3B | 21tok/sQ8_0 | 38tok/sQ8_0 |
| Kimi VL A3B Thinking 2506 | 18tok/sQ8_0 | 35tok/sQ8_0 |
| Kimi VL A3B | 17tok/smlx-8bit | 34tok/smlx-8bit |
| GLM 4 9B 0414 | 17tok/smlx-5bit | 31tok/smlx-5bit |
| granite vision 4.1 4b | 16tok/sQ8_0 | 29tok/sQ8_0 |
| granite 4.2 3b | 16tok/sQ8_0 | 29tok/sQ8_0 |
| GLM 4.6V Flash | 15tok/sQ8_0 | 27tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 7B | 15tok/sQ8_0 | 27tok/sQ8_0 |
| GLM 4.1V 9B Thinking | 13tok/smlx-8bit | 24tok/smlx-8bit |
| Ministral 3 3B Instruct 2512 | 13tok/sQ8_0 | 24tok/sQ8_0 |
| Muse Glimmer 30B | 10tok/sQ5_K_M | 19tok/sQ5_K_M |
| DeepSeek R1 Distill Llama 8B | 10tok/sQ5_K_M | 18tok/sQ5_K_M |
| Ministral 3 8B Reasoning 2512 | offload | 18tok/sQ4_K_M |
| Qwen 3.8 27B | offload | offload |
| Qwen 3.5 122B-A10B | offload | offload |
| Qwen 3.6 27B | offload | offload |
| Gemma 4 31B | offload | offload |
| Mistral Small 4 119B | offload | offload |
| Qwen 3.6 35B-A3B | offload | offload |
| Qwen 3.5 27B | 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 |
| Gemma 3 27B | offload | offload |
| Mistral Small 3.2 24B | offload | offload |
| Ministral 3 14B | offload | offload |
| Qwen3 14B | offload | offload |
| DeepSeek R1 0528 Qwen3 8B | offload | offload |
| Qwen3 8B | offload | offload |
| Phi-4 14B | offload | offload |
| Granite 4.2 8B | offload | offload |
| LFM2.5 24B A2B | offload | offload |
| Qwen3.8 27B OBLITERATED | offload | offload |
| Ministral 3 14B Reasoning 2512 | offload | offload |
| DeepSeek R1 Distill Qwen 14B | offload | offload |
| Devstral Small 2507 | offload | offload |
| Magistral Small 2506 | offload | offload |
| Magistral Small 2507 | offload | offload |
| Magistral Small 2509 | 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 |
| Qwen3 32B | won't run | won't run |
| DeepSeek R1 Distill Qwen 32B | 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 |
| granite 4.2 30b | 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.
- Which can run bigger models, the Intel Arc Pro B60 or the NVIDIA RTX PRO 4000 Blackwell?
- At 128k context the NVIDIA RTX PRO 4000 Blackwell runs 31 of the models we track fully in memory and the Intel Arc Pro B60 29; only the NVIDIA RTX PRO 4000 Blackwell holds Ministral 3 8B.
- 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).
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