Intel Arc B580
12 GB · 456 GB/s · 190 W
Prices
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What two of them run
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 |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | UD-Q5_K_M | fits | 22.0 GB | 37k65k with q8 cache | 10tok/sest. | 564 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q5_K_M | fits | 21.8 GB | 40k71k with q8 cache | 11tok/sest. | 564 tok/s | – |
| Gemma 4 31B | Q4_K_M | fits | 21.8 GB | 38k76k with q8 cache | 10tok/sest. | 502 tok/s | – |
| Qwen 3.5 27B Alibaba Qwen | Q5_K_M | fits | 21.9 GB | 39k69k with q8 cache | 10tok/sest. | 564 tok/s | – |
| Gemma 4 26B-A4B | UD-Q5_K_M | fits | 22.0 GB | 47k79k with q8 cache | 30tok/sest. | 3580 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q4_K_M | fits | 20.2 GB | 70k121k with q8 cache | 26tok/sest. | 2101 tok/s | chat, coding |
| Devstral Small 2 24B Mistral AI | Q5_K_M | fits | 22.1 GB | 33k61k with q8 cache | 10tok/sest. | 595 tok/s | – |
| gpt-oss 20B OpenAI | MXFP4 | fits | 13.5 GB | 128k | 39tok/sest. | 3004 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | fits | 21.8 GB | 38k68k with q8 cache | 25tok/sest. | 1851 tok/s | chat, coding |
| Gemma 4 12B | Q8_0 | fits | 14.1 GB | 256k | 17tok/sest. | 1307 tok/s | chat, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 11.4 GB | 256k | 21tok/sest. | 1629 tok/s | chat, coding, long documents |
| Mistral Small 3.2 24B Mistral AI | Q5_K_M | fits | 22.1 GB | 33k61k with q8 cache | 10tok/sest. | 595 tok/s | – |
| Gemma 3 27B | Q5_K_M | fits | 22.3 GB | 32k61k with q8 cache | 10tok/sest. | 598 tok/s | – |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 19.9 GB | 47k86k with q8 cache | 12tok/sest. | 905 tok/s | – |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 21.1 GB | 39k40k with q8 cache | 11tok/sest. | 814 tok/s | – |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 14.1 GB | 88k128k with q8 cache | 17tok/sest. | 1342 tok/s | chat |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 14.1 GB | 40k | 17tok/sest. | 1342 tok/s | chat |
| Phi-4 14B Microsoft | Q8_0 | fits | 22.2 GB | 16k | 10tok/sest. | 818 tok/s | – |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 6.7 GB | 256k | 41tok/sest. | 3048 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 14.1 GB | 91k166k with q8 cache | 17tok/sest. | 1296 tok/s | chat |
| Granite 4.2 8B IBM | Q8_0 | fits | 15.2 GB | 76k128k with q8 cache | 16tok/sest. | 1234 tok/s | chat |
| Gemma 4 E4B | Q8_0 | fits | 10.0 GB | 128k | 25tok/sest. | 2046 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 11.4 GB | 125k | 47tok/sest. | 6694 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 11.6 GB | 114k128k with q8 cache | 21tok/sest. | 1418 tok/s | chat, coding |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 41.3 GB | – | 12tok/sest. | 945 tok/s | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 47.5 GB | – | 14tok/sest. | 2143 tok/s | chat |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 39.6 GB | – | 16tok/sest. | 1071 tok/s | chat |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q4_K_M | offload | 22.8 GB | 16k26k with q8 cache | 46tok/sest. | 3981 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | offload | 22.7 GB | 21k33k with q8 cache | 47tok/sest. | 3993 tok/s | chat, coding, agents, long documents |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 47.5 GB | – | 17tok/sest. | 2550 tok/s | chat |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 34.3 GB | – | 16tok/sest. | 3592 tok/s | chat |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 29.8 GB | – | 32tok/sest. | 2926 tok/s | chat, coding, long documents |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 27.9 GB | 10k19k with q8 cache | 5tok/sest. | 306 tok/s | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 28.0 GB | 10k18k with q8 cache | 5tok/sest. | 351 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 94.4 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 103.2 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 75.8 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 79.4 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 52.8 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 61.7 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 49.4 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 51.1 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