Intel Arc Pro B60 vs Intel Arc Pro B70

For running models locally, priced in Germany. At 128k context the first runs 29 models fully in memory, the second 50.

In short

The Intel Arc Pro B70 has more memory for models: 32 GB against 24 GB. At 128k context the Intel Arc Pro B70 runs 50 of the models we track fully in memory and the Intel Arc Pro B60 29; only the Intel Arc Pro B70 holds Qwen 3.8 27B. 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

SpecIntel Arc Pro B60Intel Arc Pro B70
GPUArc Pro B60Arc Pro B70
Memory24 GB GDDR632 GB GDDR6
Memory bus192-bit256-bit
Memory bandwidth456 GB/s608 GB/s
FP16 compute98.5 TFLOPS45.8 TFLOPS
SoftwareSYCL / oneAPISYCL / oneAPI
Board power200 W230 W
PCIe generationGen 5Gen 5
PCIe lanesx8x16

What each runs

Estimated decode speed with the most precise quant that fits each one est.

ModelIntel Arc Pro B60Intel Arc Pro B70
Qwen 3.8 27Boffload10tok/sUD-Q6_K
Qwen 3.6 27Boffload10tok/sQ6_K
Gemma 4 31Boffload10tok/sQ4_K_M
Qwen 3.6 35B-A3Boffload34tok/sUD-Q5_K_M
Qwen 3.5 27Boffload10tok/sQ6_K
Gemma 4 26B-A4B21tok/sQ5_K_M24tok/sQ8_0
Qwen 3.5 35B-A3Boffload32tok/sQ6_K
GLM 4.7 Flashoffload15tok/sQ6_K
Nemotron 3.5 Lightning 30B-A3Boffload45tok/sUD-Q5_K_M
gpt-oss 20B22tok/sMXFP430tok/sMXFP4
Kimi Linear 48B-A3Boffload57tok/sQ4_K_M
Qwen3 Coder 30B-A3Boffload11tok/sQ4_K_M
Gemma 4 12B15tok/sQ8_020tok/sQ8_0
Qwen 3.5 9B16tok/sQ8_022tok/sQ8_0
Gemma 3 27Boffload10tok/sQ5_K_M
Ministral 3 14Boffload10tok/sQ5_K_M
Qwen3 14Boffload10tok/sQ4_K_M
DeepSeek R1 0528 Qwen3 8Boffload11tok/sQ8_0
Qwen3 8Boffload11tok/sQ8_0
Qwen 3.5 4B26tok/sQ8_034tok/sQ8_0
Ministral 3 8Boffload11tok/sQ8_0
Granite 4.2 8Boffload10tok/sQ8_0
Gemma 4 E4B19tok/sQ8_025tok/sQ8_0
LFM2.5 8B-A1B17tok/sQ8_022tok/sQ8_0
Llama 3.1 8B10tok/sQ5_K_M13tok/sQ6_K
Qwen2.5 0.5B107tok/sQ8_0142tok/sQ8_0
Qwen3.5 0.8B93tok/sQ8_0125tok/sQ8_0
Qwen3.5 2B74tok/sQ5_K_M99tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B40tok/sQ8_054tok/sQ8_0
Spark X2.5 4B29tok/smlx-4bit38tok/smlx-4bit
Mellum2.1 12B A2.5B Thinking27tok/sQ8_037tok/sQ8_0
MiniCPM5 2B27tok/sQ8_037tok/sQ8_0
FrogNano 4B 260925tok/sQ8_034tok/sQ8_0
LFM2.5 2.6B21tok/sQ8_028tok/sQ8_0
LFM2.5 VL 3B21tok/sQ8_028tok/sQ8_0
Kimi VL A3B Thinking 250618tok/sQ8_023tok/sQ8_0
Kimi VL A3B17tok/smlx-8bit23tok/smlx-8bit
GLM 4 9B 041417tok/smlx-5bit22tok/smlx-5bit
granite vision 4.1 4b16tok/sQ8_021tok/sQ8_0
granite 4.2 3b16tok/sQ8_021tok/sQ8_0
GLM 4.6V Flash15tok/sQ8_020tok/sQ8_0
DeepSeek R1 Distill Qwen 7B15tok/sQ8_020tok/sQ8_0
GLM 4.1V 9B Thinking13tok/smlx-8bit18tok/smlx-8bit
Ministral 3 3B Instruct 251213tok/sQ8_017tok/sQ8_0
Muse Glimmer 30B10tok/sQ5_K_M12tok/sQ6_K
DeepSeek R1 Distill Llama 8B10tok/sQ5_K_M12tok/sQ8_0
Ministral 3 8B Reasoning 2512offload11tok/sQ8_0
LFM2.5 24B A2Boffload14tok/sQ5_K_M
Qwen3.8 27B OBLITERATEDoffload10tok/smlx-4bit
Ministral 3 14B Reasoning 2512offload10tok/sQ5_K_M
Qwen 3.5 122B-A10Boffloadoffload
Nemotron 3 Super 120B-A12Bwon't runoffload
Qwen3 Coder Nextwon't runoffload
Mistral Small 4 119Boffloadoffload
Devstral Small 2 24Boffloadoffload
Qwen3 Next 80B-A3Bwon't runoffload
Qwen3 32Bwon't runoffload
Mistral Small 3.2 24Boffloadoffload
DeepSeek R1 Distill Qwen 32Bwon't runoffload
Phi-4 14Boffloadoffload
DeepSeek R1 Distill Qwen 14Boffloadoffload
Devstral Small 2507offloadoffload
Magistral Small 2506offloadoffload
Magistral Small 2507offloadoffload
Magistral Small 2509offloadoffload
granite 4.2 30bwon't runoffload
DeepSeek V4 Flashwon't runwon't run
GLM 5.3 Flashwon't runwon't run
Qwen 3.8 Flash Nextwon't runwon't run
MiniMax M2.7won't runwon't run
gpt-oss 120Bwon't runwon't run
GLM 4.5 Airwon't runwon't run
Llama 3.3 70Bwon't runwon't run
DeepSeek R1won't runwon't run
DeepSeek R1 0528won't runwon't run
DeepSeek R1 Distill Llama 70Bwon't runwon't run
DeepSeek R1 Zerowon't runwon't run
DeepSeek V3won't runwon't run
DeepSeek V3 0324won't runwon't run
DeepSeek V3.1won't runwon't run
DeepSeek V3.1 Terminuswon't runwon't run
DeepSeek V3.2won't runwon't run
DeepSeek V4 Flash 0731won't runwon't run
DeepSeek V4 Flash Vision Expwon't runwon't run
Devstral 2 123B Instruct 2512won't runwon't run
GLM 4.5won't runwon't run
GLM 4.5Vwon't runwon't run
GLM 4.6won't runwon't run
GLM 4.6Vwon't runwon't run
GLM 4.7won't runwon't run
GLM 5won't runwon't run
GLM 5.1won't runwon't run
GLM 5.2won't runwon't run
GLM 5.3won't runwon't run
Kimi Dev 72Bwon't runwon't run
Kimi K2won't runwon't run
Kimi K2 Instruct 0905won't runwon't run
Kimi K2 Thinkingwon't runwon't run
Kimi K2.5won't runwon't run
MiniMax M2won't runwon't run
MiniMax M2.1won't runwon't run
MiniMax M2.5won't runwon't run
MiniMax M3won't runwon't run
Mistral Medium 3.5 128Bwon't runwon'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 128k context the Intel Arc Pro B70 runs 50 of the models we track fully in memory and the Intel Arc Pro B60 29; only the Intel Arc Pro B70 holds Qwen 3.8 27B.
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).

More comparisons

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