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 @32k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Gemma 4 12B | Q6_K | fits | 10.9 GB | 45k79k with q8 cache | 21tok/sest. | 1307 tok/s | chat, coding |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 10.9 GB | 39k65k with q8 cache | 21tok/sest. | 1629 tok/s | chat, coding |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q5_K_M | fits | 10.9 GB | 33k61k with q8 cache | 21tok/sest. | 1342 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q5_K_M | fits | 10.9 GB | 33k40k with q8 cache | 21tok/sest. | 1342 tok/s | chat, coding |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 6.2 GB | 166k256k with q8 cache | 41tok/sest. | 3048 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q5_K_M | fits | 10.9 GB | 34k62k with q8 cache | 22tok/sest. | 1296 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q4_K_M | fits | 11.1 GB | 32k58k with q8 cache | 21tok/sest. | 1234 tok/s | chat, coding |
| Gemma 4 E4B | Q8_0 | fits | 9.5 GB | 82k128k with q8 cache | 25tok/sest. | 2046 tok/s | chat, coding |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 10.9 GB | 38k65k with q8 cache | 47tok/sest. | 6694 tok/s | chat, coding |
| Llama 3.1 8B Meta | Q6_K | fits | 11.1 GB | 32k58k with q8 cache | 21tok/sest. | 1418 tok/s | chat, coding |
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | offload | 18.5 GB | – | 5tok/sest. | 423 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | offload | 18.8 GB | – | 5tok/sest. | 420 tok/s | – |
| Gemma 4 31B | Q4_K_M | offload | 21.3 GB | – | 4tok/sest. | 352 tok/s | – |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q4_K_M | offload | 22.3 GB | – | 18tok/sest. | 2768 tok/s | chat |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | offload | 18.7 GB | – | 5tok/sest. | 420 tok/s | – |
| Gemma 4 26B-A4B | UD-Q4_K_M | offload | 17.6 GB | – | 16tok/sest. | 2753 tok/s | chat |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | offload | 22.2 GB | – | 18tok/sest. | 2774 tok/s | chat |
| GLM 4.7 Flash Z.ai | Q4_K_M | offload | 19.7 GB | – | 11tok/sest. | 1529 tok/s | chat |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 19.3 GB | – | 5tok/sest. | 437 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 33.8 GB | – | 11tok/sest. | 2694 tok/s | – |
| gpt-oss 20B OpenAI | MXFP4 | offload | 13.0 GB | – | 26tok/sest. | 2732 tok/s | chat, coding |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 29.3 GB | – | 19tok/sest. | 2139 tok/s | chat |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 21.3 GB | – | 10tok/sest. | 1299 tok/s | chat |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 27.4 GB | – | 3tok/sest. | 221 tok/s | – |
| Gemma 3 27B | Q4_K_M | offload | 19.3 GB | – | 5tok/sest. | 439 tok/s | – |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 19.3 GB | – | 5tok/sest. | 437 tok/s | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 27.5 GB | – | 3tok/sest. | 254 tok/s | – |
| Ministral 3 14B Mistral AI | Q4_K_M | offload | 13.7 GB | 16k30k with q8 cache | 10tok/sest. | 799 tok/s | chat |
| Qwen3 14B Alibaba Qwen | Q4_K_M | offload | 14.4 GB | 12k22k with q8 cache | 9tok/sest. | 698 tok/s | chat |
| Phi-4 14B Microsoft | Q4_K_M | offload | 15.5 GB | 10k16k with q8 cache | 7tok/sest. | 672 tok/s | chat |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 93.9 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 102.7 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 75.3 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 78.9 GB | – | – | – | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | won't run | 40.8 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 52.3 GB | – | – | – | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | won't run | 47.0 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 61.2 GB | – | – | – | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | won't run | 39.1 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 48.9 GB | – | – | – | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | won't run | 47.0 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 50.6 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