Intel Arc Pro B60 vs Intel Arc Pro B70
For running models locally, priced in Germany. At 64k context the first runs 47 models fully in memory, the second 58.
In short
The Intel Arc Pro B70 has more memory for models: 32 GB against 24 GB. At 64k context the Intel Arc Pro B70 runs 58 of the models we track fully in memory and the Intel Arc Pro B60 47; only the Intel Arc Pro B70 holds Gemma 4 31B. On the models both run fully in memory, the Intel Arc Pro B70 is about 1.3× 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 | Intel Arc Pro B70 |
|---|---|---|
| GPU | Arc Pro B60 | Arc Pro B70 |
| Memory | 24 GB GDDR6 | 32 GB GDDR6 |
| Memory bus | 192-bit | 256-bit |
| Memory bandwidth | 456 GB/s | 608 GB/s |
| FP16 compute | 98.5 TFLOPS | 45.8 TFLOPS |
| Software | SYCL / oneAPI | SYCL / oneAPI |
| Board power | 200 W | 230 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 | Intel Arc Pro B70 |
|---|---|---|
| Qwen 3.8 27B | 10tok/sQ4_K_M | 11tok/sQ6_K |
| Qwen 3.6 27B | 11tok/sQ4_K_M | 11tok/sQ6_K |
| Gemma 4 31B | offload | 10tok/sQ6_K |
| Qwen 3.6 35B-A3B | 39tok/sUD-Q4_K_M | 43tok/sUD-Q6_K |
| Qwen 3.5 27B | 11tok/sQ4_K_M | 11tok/sQ6_K |
| Gemma 4 26B-A4B | 26tok/sUD-Q5_K_M | 29tok/sQ8_0 |
| Qwen 3.5 35B-A3B | 39tok/sQ4_K_M | 44tok/sQ6_K |
| GLM 4.7 Flash | 19tok/sQ4_K_M | 22tok/sQ6_K |
| Devstral Small 2 24B | offload | 10tok/sQ6_K |
| Nemotron 3.5 Lightning 30B-A3B | offload | 50tok/sUD-Q5_K_M |
| gpt-oss 20B | 31tok/sMXFP4 | 41tok/sMXFP4 |
| Kimi Linear 48B-A3B | offload | 70tok/sQ4_K_M |
| Qwen3 Coder 30B-A3B | offload | 19tok/sQ6_K |
| Gemma 4 12B | 16tok/sQ8_0 | 22tok/sQ8_0 |
| Qwen 3.5 9B | 19tok/sQ8_0 | 26tok/sQ8_0 |
| Gemma 3 27B | 10tok/sQ4_K_M | 11tok/sQ6_K |
| Mistral Small 3.2 24B | offload | 10tok/sQ6_K |
| Ministral 3 14B | 10tok/sQ6_K | 12tok/sQ8_0 |
| Qwen3 14B | 10tok/sQ6_K | 12tok/sQ8_0 |
| DeepSeek R1 0528 Qwen3 8B | 12tok/sQ8_0 | 17tok/sQ8_0 |
| Qwen3 8B | 12tok/sQ8_0 | 17tok/sQ8_0 |
| Phi-4 14B | 10tok/sQ4_K_M | 11tok/sQ8_0 |
| Qwen 3.5 4B | 34tok/sQ8_0 | 46tok/sQ8_0 |
| Ministral 3 8B | 13tok/sQ8_0 | 17tok/sQ8_0 |
| Granite 4.2 8B | 11tok/sQ8_0 | 15tok/sQ8_0 |
| Gemma 4 E4B | 23tok/sQ8_0 | 30tok/sQ8_0 |
| LFM2.5 8B-A1B | 29tok/sQ8_0 | 39tok/sQ8_0 |
| Llama 3.1 8B | 15tok/sQ6_K | 20tok/sQ6_K |
| Qwen2.5 0.5B | 171tok/sQ8_0 | 228tok/sQ8_0 |
| Qwen3.5 0.8B | 139tok/sQ8_0 | 186tok/sQ8_0 |
| Qwen3.5 2B | 101tok/sQ5_K_M | 135tok/sQ5_K_M |
| DeepSeek R1 Distill Qwen 1.5B | 60tok/sQ8_0 | 81tok/sQ8_0 |
| MiniCPM5 2B | 42tok/sQ8_0 | 55tok/sQ8_0 |
| Spark X2.5 4B | 41tok/smlx-4bit | 55tok/smlx-4bit |
| Mellum2.1 12B A2.5B Thinking | 34tok/sQ8_0 | 46tok/sQ8_0 |
| FrogNano 4B 2609 | 33tok/sQ8_0 | 45tok/sQ8_0 |
| LFM2.5 2.6B | 33tok/sQ8_0 | 44tok/sQ8_0 |
| LFM2.5 VL 3B | 33tok/sQ8_0 | 44tok/sQ8_0 |
| granite vision 4.1 4b | 25tok/sQ8_0 | 34tok/sQ8_0 |
| granite 4.2 3b | 25tok/sQ8_0 | 33tok/sQ8_0 |
| Kimi VL A3B Thinking 2506 | 24tok/sQ8_0 | 33tok/sQ8_0 |
| Kimi VL A3B | 24tok/smlx-8bit | 32tok/smlx-8bit |
| Ministral 3 3B Instruct 2512 | 21tok/sQ8_0 | 29tok/sQ8_0 |
| GLM 4 9B 0414 | 21tok/smlx-5bit | 28tok/smlx-5bit |
| DeepSeek R1 Distill Qwen 7B | 19tok/sQ8_0 | 26tok/sQ8_0 |
| LFM2.5 24B A2B | 19tok/sQ4_K_M | 22tok/sQ8_0 |
| GLM 4.6V Flash | 18tok/sQ8_0 | 24tok/sQ8_0 |
| GLM 4.1V 9B Thinking | 16tok/smlx-8bit | 21tok/smlx-8bit |
| DeepSeek R1 Distill Llama 8B | 13tok/sQ8_0 | 18tok/sQ8_0 |
| Ministral 3 8B Reasoning 2512 | 13tok/sQ8_0 | 17tok/sQ8_0 |
| Muse Glimmer 30B | 11tok/sQ5_K_M | 13tok/sQ6_K |
| Ministral 3 14B Reasoning 2512 | 10tok/sQ6_K | 12tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 14B | 10tok/sQ5_K_M | 11tok/sQ8_0 |
| Devstral Small 2507 | offload | 11tok/sQ5_K_M |
| Magistral Small 2506 | offload | 10tok/sQ6_K |
| Magistral Small 2507 | offload | 11tok/sQ5_K_M |
| Magistral Small 2509 | offload | 11tok/sQ5_K_M |
| Qwen3.8 27B OBLITERATED | offload | 12tok/smlx-4bit |
| Qwen 3.5 122B-A10B | offload | offload |
| Qwen3 Coder Next | offload | offload |
| Nemotron 3 Super 120B-A12B | won't run | offload |
| Mistral Small 4 119B | offload | offload |
| GLM 4.5 Air | won't run | offload |
| Qwen3 Next 80B-A3B | offload | offload |
| 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 Intel Arc Pro B60 or the Intel Arc Pro B70?
- Choose the Intel Arc Pro B70 to run bigger models. Choose the Intel Arc Pro B70 for speed.
- Which can run bigger models, the Intel Arc Pro B60 or the Intel Arc Pro B70?
- At 64k context the Intel Arc Pro B70 runs 58 of the models we track fully in memory and the Intel Arc Pro B60 47; only the Intel Arc Pro B70 holds Gemma 4 31B.
- Which is faster for local AI, the Intel Arc Pro B60 or the Intel Arc Pro B70?
- On the models both run fully in memory, the Intel Arc Pro B70 is about 1.3× as fast as the Intel Arc Pro B60 (estimated, median across models).
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