Intel Arc A770 16GB vs NVIDIA RTX 4060 Ti 16GB
Side-by-side local AI comparison: VRAM, memory bandwidth, model compatibility, and estimated tokens per second across 107 open-weight models.
Quick verdict
Intel Arc A770 16GB is faster for local AI inference, but only on memory bandwidth (94.4% more). Both GPUs have 16 GB VRAM and run the exact same 48 models natively; neither fits anything the other can't. Note: Intel Arc A770 16GB uses VULKAN while NVIDIA RTX 4060 Ti 16GB uses CUDA; software ecosystem matters for your framework.
Specs comparison
| Spec | Intel Arc A770 16GB | NVIDIA RTX 4060 Ti 16GB |
|---|---|---|
| VRAM | 16 GB | 16 GB |
| Memory type | GDDR6 | GDDR6 |
| Bandwidth | 560 GB/s(+94%) | 288 GB/s |
| Architecture | Xe-HPG (Alchemist) | Ada Lovelace |
| Backend | VULKAN | CUDA |
| Tier | Consumer | Consumer |
| Released | 2022 | 2023 |
| Models (native) | 48 | 48 |
Estimated tokens per second
Computed from memory bandwidth and model active-parameter weight. Assumes model fits natively in VRAM.
| Model | Intel Arc A770 16GB | NVIDIA RTX 4060 Ti 16GB | Delta |
|---|---|---|---|
| Llama 3.3 70B Instruct(70B) | N/A | N/A | N/A |
| Qwen 3.6 27B(27B) | 32 t/s(Q3_K_M) | 17.5 t/s(Q3_K_M) | +83% |
| Llama 3.1 8B Instruct(8B) | 46.8 t/s(Q8_0) | 25.2 t/s(Q8_0) | +86% |
| Qwen 2.5 7B Instruct(7.6B) | 52.6 t/s(Q8_0) | 28.2 t/s(Q8_0) | +87% |
Delta is Intel Arc A770 16GB relative to NVIDIA RTX 4060 Ti 16GB, compared at the highest quantization that fits natively on both cards.
Only Intel Arc A770 16GB can run(0)
No exclusive models: NVIDIA RTX 4060 Ti 16GB can run everything Intel Arc A770 16GB can.
Only NVIDIA RTX 4060 Ti 16GB can run(0)
No exclusive models: Intel Arc A770 16GB can run everything NVIDIA RTX 4060 Ti 16GB can.
Both run natively(48)
These models fit in VRAM on both GPUs. Bandwidth determines which runs them faster.
- Qwen 3.5 35B-A3B (MoE)101.4 t/svs118.3 t/s
- Qwen 3.6 35B-A3B (MoE)101.4 t/svs118.3 t/s
- Ornith 1.5 35B-A3B (MoE)101.4 t/svs118.3 t/s
- Gemma 4 31B32.9 t/svs18 t/s
- Qwen3 30B-A3B (MoE)79.4 t/svs86 t/s
- Muse Glimmer 30B32.6 t/svs17.7 t/s
- Gemma 2 27B Instruct33.3 t/svs17.9 t/s
- Gemma 3 27B Instruct37.4 t/svs20.2 t/s
- Qwen 3.6 27B32 t/svs17.5 t/s
- UI-Mate 27B32 t/svs17.5 t/s
- Bonsai 27B51.2 t/svs29.1 t/s
- Bonsai 2 27B59.2 t/svs34.2 t/s
- Qwen 3.8 27B32 t/svs17.5 t/s
- Gemma 4 26B (MoE)101.3 t/svs89.6 t/s
- Mistral Small 3.1 24B Instruct35 t/svs18.8 t/s
- Mistral Small 22B34.7 t/svs18.9 t/s
- +32 more on both
Which should you choose?
- • Faster token generation is the priority
- • You rely on CUDA-based tools (PyTorch, vLLM, Ollama)
- • You want the newer architecture and longer driver support lifecycle
Frequently asked questions
- Which is better for local AI, the Intel Arc A770 16GB or NVIDIA RTX 4060 Ti 16GB?
- For local AI inference, the Intel Arc A770 16GB has the edge. It offers 16 GB VRAM (vs 16 GB) and 560 GB/s bandwidth (vs 288 GB/s), letting it run 48 models natively in VRAM vs 48 for its rival.
- How much VRAM does the Intel Arc A770 16GB have vs the NVIDIA RTX 4060 Ti 16GB?
- The Intel Arc A770 16GB has 16 GB of GDDR6 at 560 GB/s. The NVIDIA RTX 4060 Ti 16GB has 16 GB of GDDR6 at 288 GB/s. Both GPUs have the same VRAM amount; bandwidth determines which generates tokens faster.
- Can the Intel Arc A770 16GB run Llama 3.3 70B?
- The Intel Arc A770 16GB can run Llama 3.3 70B with CPU offload at Q3_K_M, but at reduced speed.
- Can the NVIDIA RTX 4060 Ti 16GB run Llama 3.3 70B?
- The NVIDIA RTX 4060 Ti 16GB can run Llama 3.3 70B with CPU offload at Q3_K_M, but at reduced speed.
- What is the difference between the Intel Arc A770 16GB and NVIDIA RTX 4060 Ti 16GB for AI?
- The key difference for AI inference is VRAM and memory bandwidth. The Intel Arc A770 16GB has 16 GB VRAM at 560 GB/s (VULKAN backend). The NVIDIA RTX 4060 Ti 16GB has 16 GB VRAM at 288 GB/s (CUDA backend). VRAM determines which models fit; bandwidth determines tokens per second. The Intel Arc A770 16GB runs 48 models natively vs 48 for the NVIDIA RTX 4060 Ti 16GB.