Intel Arc B580
12 GB · 456 GB/s · 190 W
Prices
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No retailer in this market lists it right now.
What it runs
Every model in the catalogue, with the best quant for this hardware. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @8k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Gemma 4 12B | Q6_K | fits | 10.4 GB | 45k79k with q8 cache | 22tok/sest. | 1391 tok/s | chat, coding |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 10.0 GB | 39k65k with q8 cache | 23tok/sest. | 1761 tok/s | chat, coding |
| Qwen3 14B Alibaba Qwen | Q4_K_M | fits | 10.5 GB | 12k22k with q8 cache | 22tok/sest. | 1063 tok/s | chat |
| Ministral 3 14B Mistral AI | Q5_K_M | fits | 11.1 GB | 8k16k with q8 cache | 21tok/sest. | 1143 tok/s | chat |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 10.1 GB | 15k28k with q8 cache | 23tok/sest. | 1859 tok/s | chat |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 10.1 GB | 15k28k with q8 cache | 23tok/sest. | 1859 tok/s | chat |
| Phi-4 14B Microsoft | Q4_K_M | fits | 10.7 GB | 10k16k with q8 cache | 22tok/sest. | 1070 tok/s | chat |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 5.3 GB | 166k256k with q8 cache | 48tok/sest. | 3546 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 10.3 GB | 14k26k with q8 cache | 22tok/sest. | 1737 tok/s | chat |
| Granite 4.2 8B IBM | Q8_0 | fits | 10.8 GB | 10k19k with q8 cache | 21tok/sest. | 1724 tok/s | chat |
| Gemma 4 E4B | Q8_0 | fits | 8.7 GB | 82k128k with q8 cache | 27tok/sest. | 2135 tok/s | chat, coding |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 9.6 GB | 38k65k with q8 cache | 86tok/sest. | 12459 tok/s | chat, coding |
| Llama 3.1 8B Meta | Q6_K | fits | 8.0 GB | 32k58k with q8 cache | 30tok/sest. | 1920 tok/s | chat, coding |
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | offload | 16.8 GB | – | 6tok/sest. | 482 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | offload | 17.1 GB | – | 6tok/sest. | 477 tok/s | – |
| Gemma 4 31B | Q4_K_M | offload | 19.3 GB | – | 5tok/sest. | 393 tok/s | – |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q4_K_M | offload | 21.7 GB | – | 23tok/sest. | 3658 tok/s | chat |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | offload | 17.1 GB | – | 6tok/sest. | 479 tok/s | – |
| Gemma 4 26B-A4B | UD-Q4_K_M | offload | 17.0 GB | – | 19tok/sest. | 3134 tok/s | chat |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | offload | 21.6 GB | – | 23tok/sest. | 3666 tok/s | chat |
| GLM 4.7 Flash Z.ai | Q4_K_M | offload | 18.3 GB | – | 16tok/sest. | 2215 tok/s | chat |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 15.4 GB | – | 8tok/sest. | 569 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 33.5 GB | – | 11tok/sest. | 3221 tok/s | – |
| gpt-oss 20B OpenAI | MXFP4 | offload | 12.3 GB | – | 36tok/sest. | 3571 tok/s | chat, coding |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 28.9 GB | – | 21tok/sest. | 3093 tok/s | chat |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 18.9 GB | – | 20tok/sest. | 2822 tok/s | chat |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 21.3 GB | – | 4tok/sest. | 332 tok/s | – |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 15.4 GB | – | 8tok/sest. | 569 tok/s | – |
| Gemma 3 27B | Q4_K_M | offload | 17.3 GB | – | 6tok/sest. | 482 tok/s | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 21.3 GB | – | 4tok/sest. | 347 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 91.7 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 102.3 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 74.6 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 72.9 GB | – | – | – | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | won't run | 40.1 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 52.0 GB | – | – | – | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | won't run | 46.3 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 60.2 GB | – | – | – | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | won't run | 38.5 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 44.5 GB | – | – | – | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | won't run | 46.3 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 42.9 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- GPU
- Arc B580
- Memory
- 12 GB GDDR6
- Memory bus
- 192-bit
- Memory bandwidth
- 456 GB/s
- FP16 compute
- 116.5 TFLOPS
- Software
- SYCL / oneAPI
- Board power
- 190 W
- PCIe generation
- Gen 4
- PCIe lanes
- x8