Which is better for local AI, the Intel Arc Pro B60 or the NVIDIA GeForce RTX 3090?

Choose the NVIDIA GeForce RTX 3090 for speed. Choose the Intel Arc Pro B60 to spend less.

Intel Arc Pro B60 vs NVIDIA GeForce RTX 3090

For running models locally, priced in Canada. At 32k context the first runs 48 models fully in memory, the second 48.

In short

Both have 24 GB of memory for models; the Intel Arc Pro B60 has 456 GB/s of bandwidth and the NVIDIA GeForce RTX 3090 936 GB/s. At 32k context both run the same 48 models we track fully in memory. On the models both run fully in memory, the NVIDIA GeForce RTX 3090 is about 2.5× as fast as the Intel Arc Pro B60 (estimated, median across models). In Canada the Intel Arc Pro B60 costs $985 at Amazon and the NVIDIA GeForce RTX 3090 $2,800 at Amazon: the Intel Arc Pro B60 is $1,815 cheaper.

Updated October 15, 2026. Speeds are estimates; how they are worked out.

Intel Arc Pro B60

$985

Amazon

Add to build

NVIDIA GeForce RTX 3090

$2,800

Amazon

Add to build

Specifications

Spec	Intel Arc Pro B60	NVIDIA GeForce RTX 3090
GPU	Arc Pro B60	GeForce RTX 3090
Memory	24 GB GDDR6	24 GB GDDR6X
Memory bus	192-bit	384-bit
Memory bandwidth	456 GB/s	936 GB/s
FP16 compute	98.5 TFLOPS	71 TFLOPS
Software	SYCL / oneAPI	CUDA
Board power	200 W	350 W
PCIe generation	Gen 5	Gen 4
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 GeForce RTX 3090
Qwen 3.8 27B	10tok/sQ5_K_M	25tok/sQ5_K_M
Qwen 3.6 27B	11tok/sQ5_K_M	27tok/sQ5_K_M
Gemma 4 31B	10tok/sQ4_K_M	27tok/sQ4_K_M
Qwen 3.6 35B-A3B	48tok/sQ4_K_M	134tok/sQ4_K_M
Qwen 3.5 27B	10tok/sQ5_K_M	27tok/sQ5_K_M
Gemma 4 26B-A4B	28tok/sQ6_K	78tok/sUD-Q6_K
Qwen 3.5 35B-A3B	49tok/sQ4_K_M	135tok/sQ4_K_M
GLM 4.7 Flash	24tok/sQ5_K_M	65tok/sQ5_K_M
Devstral Small 2 24B	10tok/sQ5_K_M	26tok/sQ5_K_M
gpt-oss 20B	39tok/sMXFP4	108tok/sMXFP4
Qwen3 Coder 30B-A3B	25tok/sQ4_K_M	69tok/sQ4_K_M
Gemma 4 12B	17tok/sQ8_0	43tok/sQ8_0
Qwen 3.5 9B	21tok/sQ8_0	55tok/sQ8_0
Mistral Small 3.2 24B	10tok/sQ5_K_M	26tok/sQ5_K_M
Gemma 3 27B	10tok/sQ5_K_M	26tok/sQ5_K_M
Ministral 3 14B	12tok/sQ8_0	29tok/sQ8_0
Qwen3 14B	11tok/sQ8_0	28tok/sQ8_0
DeepSeek R1 0528 Qwen3 8B	17tok/sQ8_0	43tok/sQ8_0
Qwen3 8B	17tok/sQ8_0	43tok/sQ8_0
Phi-4 14B	10tok/sQ8_0	26tok/sQ8_0
Qwen 3.5 4B	41tok/sQ8_0	104tok/sQ8_0
Ministral 3 8B	17tok/sQ8_0	43tok/sQ8_0
Granite 4.2 8B	16tok/sQ8_0	39tok/sQ8_0
Gemma 4 E4B	25tok/sQ8_0	63tok/sQ8_0
LFM2.5 8B-A1B	47tok/sQ8_0	130tok/sQ8_0
Llama 3.1 8B	21tok/sQ6_K	53tok/sQ6_K
Qwen2.5 0.5B	244tok/sQ8_0	622tok/sQ8_0
Qwen3.5 0.8B	185tok/sQ8_0	471tok/sQ8_0
Qwen3.5 2B	123tok/sQ5_K_M	313tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B	81tok/sQ8_0	205tok/sQ8_0
MiniCPM5 2B	56tok/sQ8_0	142tok/sQ8_0
LFM2.5 2.6B	47tok/sQ8_0	119tok/sQ8_0
LFM2.5 VL 3B	47tok/sQ8_0	119tok/sQ8_0
Mellum2.1 12B A2.5B Thinking	40tok/sQ8_0	110tok/sQ8_0
granite vision 4.1 4b	36tok/sQ8_0	92tok/sQ8_0
granite 4.2 3b	35tok/sQ8_0	88tok/sQ8_0
Kimi VL A3B	29tok/smlx-8bit	81tok/smlx-8bit
LFM2.5 24B A2B	28tok/sQ6_K	78tok/sQ6_K
DeepSeek R1 Distill Qwen 7B	23tok/sQ8_0	58tok/sQ8_0
GLM 4.6V Flash	20tok/sQ8_0	51tok/sQ8_0
DeepSeek R1 Distill Llama 8B	18tok/sQ8_0	45tok/sQ8_0
GLM 4.1V 9B Thinking	17tok/smlx-8bit	44tok/smlx-8bit
Ministral 3 8B Reasoning 2512	17tok/sQ8_0	43tok/sQ8_0
DeepSeek R1 Distill Qwen 14B	10tok/sQ8_0	26tok/sQ8_0
Devstral Small 2507	10tok/sQ5_K_M	26tok/sQ5_K_M
Magistral Small 2506	10tok/sQ5_K_M	26tok/sQ5_K_M
Magistral Small 2507	10tok/sQ5_K_M	26tok/sQ5_K_M
Magistral Small 2509	10tok/sQ5_K_M	26tok/sQ5_K_M
Qwen 3.5 122B-A10B	offload	offload
Qwen3 Coder Next	offload	offload
Mistral Small 4 119B	offload	offload
GLM 4.5 Air	offload	offload
Qwen3 Next 80B-A3B	offload	offload
Nemotron 3.5 Lightning 30B-A3B	offload	offload
Kimi Linear 48B-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
Nemotron 3 Super 120B-A12B	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 V3 0324	won't run	won't run
DeepSeek V3.1	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 4.5V	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 5.1	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 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 GeForce RTX 3090?: Choose the NVIDIA GeForce RTX 3090 for speed. Choose the Intel Arc Pro B60 to spend less.
Which can run bigger models, the Intel Arc Pro B60 or the NVIDIA GeForce RTX 3090?: At 32k context both run the same 48 models we track fully in memory.
Which is faster for local AI, the Intel Arc Pro B60 or the NVIDIA GeForce RTX 3090?: On the models both run fully in memory, the NVIDIA GeForce RTX 3090 is about 2.5× 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 GeForce RTX 3090?: In Canada the Intel Arc Pro B60 costs $985 at Amazon and the NVIDIA GeForce RTX 3090 $2,800 at Amazon: the Intel Arc Pro B60 is $1,815 cheaper.

Intel Arc Pro B60 vs NVIDIA GeForce RTX 3090

In short

Specifications

What each runs

Questions

More comparisons