Intel Arc A770 16GB
16 GB · 560 GB/s · 225 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 |
|---|---|---|---|---|---|---|---|
| gpt-oss 20B OpenAI | MXFP4 | fits | 13.0 GB | 106k128k with q8 cache | 48tok/sest. | 3378 tok/s | chat, coding, agents, long documents |
| Gemma 4 12B | Q8_0 | fits | 13.6 GB | 106k171k with q8 cache | 21tok/sest. | 1470 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 10.9 GB | 147k243k with q8 cache | 26tok/sest. | 1832 tok/s | chat, coding, long documents |
| Qwen3 14B Alibaba Qwen | Q4_K_M | fits | 14.4 GB | 37k40k with q8 cache | 20tok/sest. | 915 tok/s | chat |
| Ministral 3 14B Mistral AI | Q5_K_M | fits | 14.9 GB | 33k61k with q8 cache | 19tok/sest. | 1017 tok/s | chat |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 13.6 GB | 42k78k with q8 cache | 21tok/sest. | 1509 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 13.6 GB | 40k | 21tok/sest. | 1509 tok/s | chat, coding |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 6.2 GB | 256k | 50tok/sest. | 3427 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 13.6 GB | 43k78k with q8 cache | 21tok/sest. | 1458 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q8_0 | fits | 14.7 GB | 35k64k with q8 cache | 19tok/sest. | 1388 tok/s | chat |
| Gemma 4 E4B | Q8_0 | fits | 9.5 GB | 128k | 31tok/sest. | 2301 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 10.9 GB | 113k125k with q8 cache | 58tok/sest. | 7527 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 11.1 GB | 63k114k with q8 cache | 26tok/sest. | 1594 tok/s | chat, coding |
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | offload | 18.5 GB | – | 8tok/sest. | 563 tok/s | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 40.8 GB | – | 10tok/sest. | 912 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | offload | 18.8 GB | – | 8tok/sest. | 557 tok/s | – |
| Gemma 4 31B | Q4_K_M | offload | 21.3 GB | – | 6tok/sest. | 463 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 39.1 GB | – | 14tok/sest. | 1030 tok/s | chat |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q4_K_M | offload | 22.3 GB | – | 25tok/sest. | 3622 tok/s | chat, coding |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | offload | 18.7 GB | – | 8tok/sest. | 558 tok/s | – |
| Gemma 4 26B-A4B | UD-Q4_K_M | offload | 17.6 GB | – | 27tok/sest. | 3678 tok/s | chat, coding |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | offload | 22.2 GB | – | 25tok/sest. | 3632 tok/s | chat, coding |
| GLM 4.7 Flash Z.ai | Q4_K_M | offload | 19.7 GB | – | 16tok/sest. | 2022 tok/s | chat |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 19.3 GB | 6k11k with q8 cache | 7tok/sest. | 578 tok/s | chat |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 33.8 GB | – | 13tok/sest. | 3407 tok/s | – |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 29.3 GB | – | 23tok/sest. | 2736 tok/s | chat, coding, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 21.3 GB | – | 14tok/sest. | 1707 tok/s | chat |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 27.4 GB | – | 3tok/sest. | 284 tok/s | – |
| Gemma 3 27B | Q4_K_M | offload | 19.3 GB | – | 7tok/sest. | 582 tok/s | – |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 19.3 GB | 6k11k with q8 cache | 7tok/sest. | 578 tok/s | chat |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 27.5 GB | – | 3tok/sest. | 326 tok/s | – |
| Phi-4 14B Microsoft | Q4_K_M | offload | 15.5 GB | 16k | 16tok/sest. | 908 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 | – | – | – | – |
| 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 | – | – | – | – |
| 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 A770 16GB
- Memory
- 16 GB GDDR6
- Memory bus
- 256-bit
- Memory bandwidth
- 560 GB/s
- FP16 compute
- 131 TFLOPS
- Software
- SYCL / oneAPI
- Board power
- 225 W
- PCIe generation
- Gen 4
- PCIe lanes
- x16