Intel Arc A770 16GB vs NVIDIA GeForce RTX 4070 Ti Super
In short
Both have 16 GB of memory for models; the Intel Arc A770 16GB has 560 GB/s of bandwidth and the NVIDIA GeForce RTX 4070 Ti Super 672 GB/s. At 8k context the NVIDIA GeForce RTX 4070 Ti Super runs 44 of the models we track fully in memory and the Intel Arc A770 16GB 38; only the NVIDIA GeForce RTX 4070 Ti Super holds Devstral Small 2 24B. On the models both run fully in memory, the NVIDIA GeForce RTX 4070 Ti Super is about 1.5× as fast as the Intel Arc A770 16GB (estimated, median across models). In the UK the Intel Arc A770 16GB costs £1,354 at Amazon and the NVIDIA GeForce RTX 4070 Ti Super £1,329 at Amazon: the NVIDIA GeForce RTX 4070 Ti Super is £25 cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | Intel Arc A770 16GB | NVIDIA GeForce RTX 4070 Ti Super |
|---|---|---|
| GPU | Arc A770 16GB | GeForce RTX 4070 Ti Super |
| Memory | 16 GB GDDR6 | 16 GB GDDR6X |
| Memory bus | 256-bit | 256-bit |
| Memory bandwidth | 560 GB/s | 672 GB/s |
| FP16 compute | 131 TFLOPS | 88 TFLOPS |
| Software | SYCL / oneAPI | CUDA |
| Board power | 225 W | 285 W |
| PCIe generation | Gen 4 | Gen 4 |
| PCIe lanes | x16 | x16 |
What each runs
Estimated decode speed with the most precise quant that fits each one est.
| Model | Intel Arc A770 16GB | NVIDIA GeForce RTX 4070 Ti Super |
|---|---|---|
| Devstral Small 2 24B | offload | 27tok/sQ4_K_M |
| gpt-oss 20B | 59tok/sMXFP4 | 95tok/sMXFP4 |
| Gemma 4 12B | 21tok/sQ8_0 | 32tok/sQ8_0 |
| Qwen 3.5 9B | 28tok/sQ8_0 | 42tok/sQ8_0 |
| Mistral Small 3.2 24B | offload | 27tok/sQ4_K_M |
| Ministral 3 14B | 23tok/sQ6_K | 27tok/sQ8_0 |
| Qwen3 14B | 21tok/sQ6_K | 31tok/sQ6_K |
| DeepSeek R1 0528 Qwen3 8B | 28tok/sQ8_0 | 42tok/sQ8_0 |
| Qwen3 8B | 28tok/sQ8_0 | 42tok/sQ8_0 |
| Phi-4 14B | 20tok/sQ6_K | 30tok/sQ6_K |
| Qwen 3.5 4B | 58tok/sQ8_0 | 87tok/sQ8_0 |
| Ministral 3 8B | 28tok/sQ8_0 | 41tok/sQ8_0 |
| Granite 4.2 8B | 26tok/sQ8_0 | 39tok/sQ8_0 |
| Gemma 4 E4B | 33tok/sQ8_0 | 49tok/sQ8_0 |
| LFM2.5 8B-A1B | 105tok/sQ8_0 | 170tok/sQ8_0 |
| Llama 3.1 8B | 37tok/sQ6_K | 54tok/sQ6_K |
| Qwen2.5 0.5B | 443tok/sQ8_0 | 660tok/sQ8_0 |
| Qwen3.5 0.8B | 301tok/sQ8_0 | 447tok/sQ8_0 |
| Qwen3.5 2B | 180tok/sQ5_K_M | 268tok/sQ5_K_M |
| LFM3 1.7B | 143tok/sQ8_0 | 213tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 1.5B | 132tok/sQ8_0 | 196tok/sQ8_0 |
| MiniCPM5 2B | 92tok/sQ8_0 | 137tok/sQ8_0 |
| LFM2.5 2.6B | 83tok/sQ8_0 | 123tok/sQ8_0 |
| LFM2.5 VL 3B | 83tok/sQ8_0 | 123tok/sQ8_0 |
| Spark X2.5 4B | 82tok/smlx-4bit | 123tok/smlx-4bit |
| Kimi VL A3B Thinking 2506 | 71tok/sQ4_K_M | 115tok/sQ4_K_M |
| granite vision 4.1 4b | 65tok/sQ8_0 | 97tok/sQ8_0 |
| Ministral 3 3B Instruct 2512 | 62tok/sQ8_0 | 92tok/sQ8_0 |
| granite 4.2 3b | 61tok/sQ8_0 | 91tok/sQ8_0 |
| FrogNano 4B 2609 | 57tok/sQ8_0 | 84tok/sQ8_0 |
| Kimi VL A3B | 55tok/smlx-6bit | 90tok/smlx-6bit |
| Mellum2.1 12B A2.5B Thinking | 55tok/sQ8_0 | 89tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 7B | 33tok/sQ8_0 | 49tok/sQ8_0 |
| GLM 4 9B 0414 | 33tok/smlx-5bit | 49tok/smlx-5bit |
| DeepSeek R1 Distill Llama 8B | 29tok/sQ8_0 | 43tok/sQ8_0 |
| Ministral 3 8B Reasoning 2512 | 28tok/sQ8_0 | 41tok/sQ8_0 |
| GLM 4.6V Flash | 27tok/sQ8_0 | 40tok/sQ8_0 |
| GLM 4.1V 9B Thinking | 23tok/smlx-8bit | 34tok/smlx-8bit |
| Ministral 3 14B Reasoning 2512 | 23tok/sQ6_K | 27tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 14B | 20tok/sQ6_K | 30tok/sQ6_K |
| Devstral Small 2507 | offload | 27tok/sQ4_K_M |
| Magistral Small 2506 | offload | 27tok/sQ4_K_M |
| Magistral Small 2507 | offload | 27tok/sQ4_K_M |
| Magistral Small 2509 | offload | 27tok/sQ4_K_M |
| Qwen 3.8 27B | offload | offload |
| Qwen 3.5 122B-A10B | offload | offload |
| Qwen 3.6 27B | offload | offload |
| Gemma 4 31B | offload | offload |
| Mistral Small 4 119B | offload | offload |
| Qwen 3.6 35B-A3B | offload | offload |
| Qwen 3.5 27B | offload | offload |
| Gemma 4 26B-A4B | offload | offload |
| Qwen 3.5 35B-A3B | offload | offload |
| GLM 4.7 Flash | offload | offload |
| Nemotron 3.5 Lightning 30B-A3B | offload | offload |
| Qwen3 Coder 30B-A3B | offload | offload |
| Kimi Linear 48B-A3B | offload | offload |
| Qwen3 32B | offload | offload |
| Gemma 3 27B | offload | offload |
| DeepSeek R1 Distill Qwen 32B | offload | offload |
| LFM2.5 24B A2B | offload | offload |
| Muse Glimmer 30B | offload | offload |
| granite 4.2 30b | offload | offload |
| Qwen3.8 27B OBLITERATED | offload | offload |
| DeepSeek V4 Flash | won't run | won't run |
| GLM 5.3 Flash | won't run | won't run |
| Qwen 3.8 Flash Next | won't run | won't run |
| MiniMax M2.7 | won't run | won't run |
| Nemotron 3 Super 120B-A12B | won't run | won't run |
| Qwen3 Coder Next | won't run | won't run |
| gpt-oss 120B | won't run | won't run |
| GLM 4.5 Air | won't run | won't run |
| Qwen3 Next 80B-A3B | won't run | won't run |
| Llama 3.3 70B | won't run | won't run |
| DeepSeek R1 | won't run | won't run |
| DeepSeek R1 0528 | won't run | won't run |
| DeepSeek R1 Distill Llama 70B | won't run | won't run |
| DeepSeek R1 Zero | won't run | won't run |
| DeepSeek V3 | won't run | won't run |
| DeepSeek V3 0324 | won't run | won't run |
| DeepSeek V3.1 | won't run | won't run |
| DeepSeek V3.1 Terminus | won't run | won't run |
| DeepSeek V3.2 | won't run | won't run |
| DeepSeek V4 Flash 0731 | won't run | won't run |
| DeepSeek V4 Flash Vision Exp | won't run | won't run |
| Devstral 2 123B Instruct 2512 | won't run | won't run |
| GLM 4.5 | won't run | won't run |
| GLM 4.5V | won't run | won't run |
| GLM 4.6 | won't run | won't run |
| GLM 4.6V | won't run | won't run |
| GLM 4.7 | won't run | won't run |
| GLM 5 | won't run | won't run |
| GLM 5.1 | won't run | won't run |
| GLM 5.2 | won't run | won't run |
| GLM 5.3 | won't run | won't run |
| Kimi Dev 72B | won't run | won't run |
| Kimi K2 | won't run | won't run |
| Kimi K2 Instruct 0905 | won't run | won't run |
| Kimi K2 Thinking | won't run | won't run |
| Kimi K2.5 | won't run | won't run |
| MiniMax M2 | won't run | won't run |
| MiniMax M2.1 | won't run | won't run |
| MiniMax M2.5 | won't run | won't run |
| MiniMax M3 | won't run | won't run |
| Mistral Medium 3.5 128B | won't run | won't run |
Questions
- Which is better for local AI, the Intel Arc A770 16GB or the NVIDIA GeForce RTX 4070 Ti Super?
- Choose the NVIDIA GeForce RTX 4070 Ti Super to run bigger models. Choose the NVIDIA GeForce RTX 4070 Ti Super for speed. Choose the NVIDIA GeForce RTX 4070 Ti Super to spend less.
- Which can run bigger models, the Intel Arc A770 16GB or the NVIDIA GeForce RTX 4070 Ti Super?
- At 8k context the NVIDIA GeForce RTX 4070 Ti Super runs 44 of the models we track fully in memory and the Intel Arc A770 16GB 38; only the NVIDIA GeForce RTX 4070 Ti Super holds Devstral Small 2 24B.
- Which is faster for local AI, the Intel Arc A770 16GB or the NVIDIA GeForce RTX 4070 Ti Super?
- On the models both run fully in memory, the NVIDIA GeForce RTX 4070 Ti Super is about 1.5× as fast as the Intel Arc A770 16GB (estimated, median across models).
- What is the price difference between the Intel Arc A770 16GB and the NVIDIA GeForce RTX 4070 Ti Super?
- In the UK the Intel Arc A770 16GB costs £1,354 at Amazon and the NVIDIA GeForce RTX 4070 Ti Super £1,329 at Amazon: the NVIDIA GeForce RTX 4070 Ti Super is £25 cheaper.
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