Intel Arc B570 for local LLMs
Written by Jakub Rusinowski · Last updated
With 10 GB at 380 GB/s, the Intel Arc B570 runs 68 catalogued models at Q4_K_M with 8K context. The largest that fits is OLMo 2 7B Instruct (~9.5 GB), and the top pick is Mellum2.1 12B Thinking at 58–121 tok/s.
Cut-down sibling of the B580 at $219. 10 GB VRAM with OpenVINO/IPEX-LLM acceleration handles 7–8B models in Q4. Slightly lower bandwidth (380 GB/s) than the B580.
Models that run on the Intel Arc B570
Q4_K_M, 8K context, 10 GB usable. Ranked by quality and speed.
| Model | Memory · marker = 10 GB | VRAM | Speed |
|---|---|---|---|
| Mellum2.1 12B Thinking Mellum2.1 | 9 GB | 58–121 tok/s | |
| Gemma 4 12B (Unified) Gemma 4 | 8.7 GB | 17–35 tok/s | |
| Bielik PL 11B v3.0 Instruct Bielik | 7.4 GB | 17–35 tok/s | |
| Llama 3.2 Vision 11B Llama 3.2 Vision | 8.5 GB | 17–36 tok/s | |
| Llama 3.2 11B Vision Instruct Llama 3.2 Family | 8.5 GB | 17–36 tok/s | |
| Falcon 3 10B Instruct Falcon 3 | 8.4 GB | 17–36 tok/s | |
| Qwen 3.5 9B Qwen 3.5 | 6.6 GB | 22–46 tok/s | |
| GLM-4 9B GLM-4.7 / GLM-Z1 | 6.2 GB | 20–41 tok/s | |
| K2 Horizon 7B K2 Horizon | 7.4 GB | 20–41 tok/s | |
| GLM-4.6V-Flash 9B GLM-4.6V | 6.2 GB | 20–41 tok/s | |
| EuroLLM 9B EuroLLM | 6.2 GB | 20–41 tok/s | |
| MiMo-V2.6 Distill 9B MiMo-V2.6 | 6.5 GB | 23–47 tok/s |
Buy it or rent the same memory
Buy the card, or rent a GPU with the same memory by the hour to try models first.
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Speed vs other GPUs
Llama 3.1 8B, Q4_K_M. Estimated ranges. How this is calculated
Specifications
Specs last updated 2026-07-12.
- Memory
- 10 GB
- Memory bandwidth
- 380 GB/s
- Architecture
- Xe2 Battlemage BMG-G21
- Series
- Arc Battlemage
- Board power
- 150 W
- Release year
- 2025
- Launch price
- $219
- Usable for models
- 10 GB
Similar GPUs
Frequently asked questions
Can the Intel Arc B570 run local LLMs?
Yes. With 10 GB (10 GB usable by a model) it runs 68 of the catalogued models at Q4_K_M with 8K context; the largest is OLMo 2 7B Instruct, needing about 9.5 GB.
How fast is the Intel Arc B570 for AI inference?
It is estimated to run Llama 3.1 8B at 24–49 tok/s at Q4_K_M. Llama 3.3 70B does not fit: it needs about 44 GB against 10 GB usable. These are modelled estimates from memory bandwidth, not measurements; the methodology page shows the formula.
What LLMs can I run on 10 GB?
Among the best that fit: Mellum2.1 12B Thinking, Gemma 4 12B (Unified), Bielik PL 11B v3.0 Instruct, Llama 3.2 Vision 11B, Llama 3.2 11B Vision Instruct. The quickest start is Ollama: ollama run llama3.1:8b.
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Can I run it on the Intel Arc B570?
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