readygpu

Intel Arc Pro B60 vs AMD Radeon RX 7900 XT

For running models locally, priced in the US. At 8k context the first runs 57 models fully in memory, the second 49.

In short

The Intel Arc Pro B60 has more memory for models: 24 GB against 20 GB. At 8k context the Intel Arc Pro B60 runs 57 of the models we track fully in memory and the AMD Radeon RX 7900 XT 49; only the Intel Arc Pro B60 holds Gemma 4 31B. On the models both run fully in memory, the AMD Radeon RX 7900 XT is about 1.9× as fast as the Intel Arc Pro B60 (estimated, median across models). In the US the Intel Arc Pro B60 costs $650 at Amazon and the AMD Radeon RX 7900 XT $700 at Amazon: the Intel Arc Pro B60 is $50 cheaper.

Updated . Speeds are estimates; how they are worked out.

Intel Arc Pro B60

$650

Amazon

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AMD Radeon RX 7900 XT

$700

Amazon

Add to build

Specifications

SpecIntel Arc Pro B60AMD Radeon RX 7900 XT
GPUArc Pro B60Radeon RX 7900 XT
Memory24 GB GDDR620 GB GDDR6
Memory bus192-bit320-bit
Memory bandwidth456 GB/s800 GB/s
FP16 compute98.5 TFLOPS103 TFLOPS
SoftwareSYCL / oneAPIROCm
Board power200 W315 W
PCIe generationGen 5Gen 4
PCIe lanesx8x16

What each runs

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

ModelIntel Arc Pro B60AMD Radeon RX 7900 XT
Qwen 3.8 27B10tok/sUD-Q6_K24tok/sQ4_K_M
Qwen 3.6 27B10tok/sQ6_K25tok/sQ4_K_M
Gemma 4 31B10tok/sQ5_K_Moffload
Qwen 3.6 35B-A3B60tok/sQ4_K_Moffload
Qwen 3.5 27B10tok/sQ6_K25tok/sQ4_K_M
Gemma 4 26B-A4B32tok/sUD-Q6_K78tok/sQ5_K_M
Qwen 3.5 35B-A3B61tok/sQ4_K_Moffload
GLM 4.7 Flash31tok/sQ5_K_M76tok/sQ4_K_M
Devstral Small 2 24B11tok/sQ6_K24tok/sQ5_K_M
Nemotron 3.5 Lightning 30B-A3B54tok/sMXFP4offload
gpt-oss 20B48tok/sMXFP4100tok/sMXFP4
Qwen3 Coder 30B-A3B43tok/sQ5_K_M100tok/sQ4_K_M
Qwen3 32B10tok/sQ4_K_Moffload
Gemma 4 12B17tok/sQ8_034tok/sQ8_0
Qwen 3.5 9B23tok/sQ8_045tok/sQ8_0
Mistral Small 3.2 24B11tok/sQ6_K24tok/sQ5_K_M
DeepSeek R1 Distill Qwen 32B10tok/sQ4_K_Moffload
Gemma 3 27B10tok/sQ6_K25tok/sQ4_K_M
Ministral 3 14B15tok/sQ8_028tok/sQ8_0
Qwen3 14B13tok/sQ8_026tok/sQ8_0
DeepSeek R1 0528 Qwen3 8B23tok/sQ8_044tok/sQ8_0
Qwen3 8B23tok/sQ8_044tok/sQ8_0
Phi-4 14B13tok/sQ8_026tok/sQ8_0
Qwen 3.5 4B48tok/sQ8_092tok/sQ8_0
Ministral 3 8B22tok/sQ8_043tok/sQ8_0
Granite 4.2 8B21tok/sQ8_041tok/sQ8_0
Gemma 4 E4B27tok/sQ8_052tok/sQ8_0
LFM2.5 8B-A1B86tok/sQ8_0180tok/sQ8_0
Llama 3.1 8B30tok/sQ6_K57tok/sQ6_K
Qwen2.5 0.5B361tok/sQ8_0697tok/sQ8_0
Qwen3.5 0.8B245tok/sQ8_0472tok/sQ8_0
Qwen3.5 2B147tok/sQ5_K_M283tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B107tok/sQ8_0207tok/sQ8_0
MiniCPM5 2B75tok/sQ8_0145tok/sQ8_0
LFM2.5 2.6B68tok/sQ8_0130tok/sQ8_0
LFM2.5 VL 3B68tok/sQ8_0130tok/sQ8_0
Spark X2.5 4B67tok/smlx-4bit130tok/smlx-4bit
granite vision 4.1 4b53tok/sQ8_0103tok/sQ8_0
LFM2.5 24B A2B52tok/sQ6_K119tok/sQ5_K_M
granite 4.2 3b50tok/sQ8_096tok/sQ8_0
FrogNano 4B 260946tok/sQ8_089tok/sQ8_0
Mellum2.1 12B A2.5B Thinking45tok/sQ8_094tok/sQ8_0
Kimi VL A3B Thinking 250637tok/sQ8_079tok/sQ8_0
Kimi VL A3B36tok/smlx-8bit75tok/smlx-8bit
DeepSeek R1 Distill Qwen 7B27tok/sQ8_051tok/sQ8_0
GLM 4 9B 041427tok/smlx-5bit51tok/smlx-5bit
DeepSeek R1 Distill Llama 8B24tok/sQ8_046tok/sQ8_0
Ministral 3 8B Reasoning 251222tok/sQ8_043tok/sQ8_0
GLM 4.6V Flash22tok/sQ8_043tok/sQ8_0
GLM 4.1V 9B Thinking19tok/smlx-8bit36tok/smlx-8bit
DeepSeek R1 Distill Qwen 14B13tok/sQ8_025tok/sQ8_0
Devstral Small 250713tok/sQ5_K_M24tok/sQ5_K_M
Magistral Small 250713tok/sQ5_K_M24tok/sQ5_K_M
Magistral Small 250913tok/sQ5_K_M24tok/sQ5_K_M
Magistral Small 250611tok/sQ6_K24tok/sQ5_K_M
Qwen3.8 27B OBLITERATED11tok/smlx-4bitoffload
granite 4.2 30b10tok/sQ5_K_Moffload
Qwen 3.5 122B-A10Boffloadoffload
Qwen3 Coder Nextoffloadwon't run
Mistral Small 4 119Boffloadoffload
GLM 4.5 Airoffloadoffload
Qwen3 Next 80B-A3Boffloadwon't run
Kimi Linear 48B-A3Boffloadoffload
Llama 3.3 70Boffloadoffload
DeepSeek R1 Distill Llama 70Boffloadoffload
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
Nemotron 3 Super 120B-A12Bwon't runwon't run
gpt-oss 120Bwon't runwon't run
DeepSeek R1won't runwon't run
DeepSeek R1 0528won't runwon't run
DeepSeek R1 Zerowon'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 AMD Radeon RX 7900 XT?
Choose the Intel Arc Pro B60 to run bigger models. Choose the AMD Radeon RX 7900 XT for speed. Choose the Intel Arc Pro B60 to spend less.
Which can run bigger models, the Intel Arc Pro B60 or the AMD Radeon RX 7900 XT?
At 8k context the Intel Arc Pro B60 runs 57 of the models we track fully in memory and the AMD Radeon RX 7900 XT 49; only the Intel Arc Pro B60 holds Gemma 4 31B.
Which is faster for local AI, the Intel Arc Pro B60 or the AMD Radeon RX 7900 XT?
On the models both run fully in memory, the AMD Radeon RX 7900 XT is about 1.9× 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 AMD Radeon RX 7900 XT?
In the US the Intel Arc Pro B60 costs $650 at Amazon and the AMD Radeon RX 7900 XT $700 at Amazon: the Intel Arc Pro B60 is $50 cheaper.

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