Intel Arc Pro B70 vs NVIDIA GeForce RTX 3090 Ti
For running models locally, priced in the US. At 32k context the first runs 61 models fully in memory, the second 57.
In short
The Intel Arc Pro B70 has more memory for models: 32 GB against 24 GB. At 32k context the Intel Arc Pro B70 runs 61 of the models we track fully in memory and the NVIDIA GeForce RTX 3090 Ti 57; only the Intel Arc Pro B70 holds Kimi Linear 48B-A3B. On the models both run fully in memory, the NVIDIA GeForce RTX 3090 Ti is about 2.1× as fast as the Intel Arc Pro B70 (estimated, median across models). In the US the Intel Arc Pro B70 costs $1,900 at eBay and the NVIDIA GeForce RTX 3090 Ti $1,999 at Amazon: the Intel Arc Pro B70 is $99 cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | Intel Arc Pro B70 | NVIDIA GeForce RTX 3090 Ti |
|---|---|---|
| GPU | Arc Pro B70 | GeForce RTX 3090 Ti |
| Memory | 32 GB GDDR6 | 24 GB GDDR6X |
| Memory bus | 256-bit | 384-bit |
| Memory bandwidth | 608 GB/s | 1,008 GB/s |
| FP16 compute | 45.8 TFLOPS | 80 TFLOPS |
| Software | SYCL / oneAPI | CUDA |
| Board power | 230 W | 450 W |
| PCIe generation | Gen 5 | 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 Pro B70 | NVIDIA GeForce RTX 3090 Ti |
|---|---|---|
| Qwen 3.8 27B | 10tok/sQ8_0 | 27tok/sQ5_K_M |
| Qwen 3.6 27B | 10tok/sQ8_0 | 29tok/sQ5_K_M |
| Gemma 4 31B | 11tok/sQ6_K | 29tok/sQ4_K_M |
| Qwen 3.6 35B-A3B | 50tok/sQ6_K | 145tok/sQ4_K_M |
| Qwen 3.5 27B | 10tok/sQ8_0 | 29tok/sQ5_K_M |
| Gemma 4 26B-A4B | 33tok/sQ8_0 | 84tok/sUD-Q6_K |
| Qwen 3.5 35B-A3B | 53tok/sQ6_K | 146tok/sQ4_K_M |
| GLM 4.7 Flash | 29tok/sQ6_K | 70tok/sQ5_K_M |
| Devstral Small 2 24B | 10tok/sQ8_0 | 28tok/sQ5_K_M |
| Nemotron 3.5 Lightning 30B-A3B | 54tok/sUD-Q5_K_M | 153tok/sMXFP4 |
| Kimi Linear 48B-A3B | 78tok/sQ4_K_M | offload |
| gpt-oss 20B | 52tok/sMXFP4 | 116tok/sMXFP4 |
| Qwen3 Coder 30B-A3B | 29tok/sQ6_K | 74tok/sQ4_K_M |
| Qwen3 32B | 10tok/sQ5_K_M | offload |
| Gemma 4 12B | 22tok/sQ8_0 | 46tok/sQ8_0 |
| Qwen 3.5 9B | 29tok/sQ8_0 | 59tok/sQ8_0 |
| Mistral Small 3.2 24B | 10tok/sQ8_0 | 28tok/sQ5_K_M |
| Gemma 3 27B | 10tok/sQ8_0 | 28tok/sQ5_K_M |
| DeepSeek R1 Distill Qwen 32B | 10tok/sQ5_K_M | offload |
| Ministral 3 14B | 15tok/sQ8_0 | 32tok/sQ8_0 |
| Qwen3 14B | 14tok/sQ8_0 | 30tok/sQ8_0 |
| DeepSeek R1 0528 Qwen3 8B | 22tok/sQ8_0 | 46tok/sQ8_0 |
| Qwen3 8B | 22tok/sQ8_0 | 46tok/sQ8_0 |
| Phi-4 14B | 14tok/sQ8_0 | 28tok/sQ8_0 |
| Qwen 3.5 4B | 54tok/sQ8_0 | 112tok/sQ8_0 |
| Ministral 3 8B | 22tok/sQ8_0 | 46tok/sQ8_0 |
| Granite 4.2 8B | 21tok/sQ8_0 | 43tok/sQ8_0 |
| Gemma 4 E4B | 33tok/sQ8_0 | 68tok/sQ8_0 |
| LFM2.5 8B-A1B | 63tok/sQ8_0 | 140tok/sQ8_0 |
| Llama 3.1 8B | 28tok/sQ6_K | 57tok/sQ6_K |
| Qwen2.5 0.5B | 326tok/sQ8_0 | 669tok/sQ8_0 |
| Qwen3.5 0.8B | 247tok/sQ8_0 | 507tok/sQ8_0 |
| Qwen3.5 2B | 164tok/sQ5_K_M | 337tok/sQ5_K_M |
| DeepSeek R1 Distill Qwen 1.5B | 107tok/sQ8_0 | 221tok/sQ8_0 |
| MiniCPM5 2B | 74tok/sQ8_0 | 153tok/sQ8_0 |
| Spark X2.5 4B | 71tok/smlx-4bit | 145tok/smlx-4bit |
| LFM2.5 2.6B | 62tok/sQ8_0 | 128tok/sQ8_0 |
| LFM2.5 VL 3B | 62tok/sQ8_0 | 128tok/sQ8_0 |
| FrogNano 4B 2609 | 53tok/sQ8_0 | 109tok/sQ8_0 |
| Mellum2.1 12B A2.5B Thinking | 53tok/sQ8_0 | 118tok/sQ8_0 |
| granite vision 4.1 4b | 48tok/sQ8_0 | 99tok/sQ8_0 |
| granite 4.2 3b | 46tok/sQ8_0 | 95tok/sQ8_0 |
| Ministral 3 3B Instruct 2512 | 43tok/sQ8_0 | 88tok/sQ8_0 |
| Kimi VL A3B Thinking 2506 | 41tok/sQ8_0 | 91tok/sQ8_0 |
| Kimi VL A3B | 39tok/smlx-8bit | 88tok/smlx-8bit |
| LFM2.5 24B A2B | 35tok/sQ8_0 | 84tok/sQ6_K |
| GLM 4 9B 0414 | 32tok/smlx-5bit | 65tok/smlx-5bit |
| DeepSeek R1 Distill Qwen 7B | 31tok/sQ8_0 | 63tok/sQ8_0 |
| GLM 4.6V Flash | 27tok/sQ8_0 | 55tok/sQ8_0 |
| DeepSeek R1 Distill Llama 8B | 24tok/sQ8_0 | 49tok/sQ8_0 |
| GLM 4.1V 9B Thinking | 23tok/smlx-8bit | 48tok/smlx-8bit |
| Ministral 3 8B Reasoning 2512 | 22tok/sQ8_0 | 46tok/sQ8_0 |
| Ministral 3 14B Reasoning 2512 | 15tok/sQ8_0 | 32tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 14B | 14tok/sQ8_0 | 28tok/sQ8_0 |
| Qwen3.8 27B OBLITERATED | 13tok/smlx-4bit | 27tok/smlx-4bit |
| Muse Glimmer 30B | 13tok/sQ6_K | 26tok/sQ6_K |
| granite 4.2 30b | 10tok/sQ5_K_M | offload |
| Devstral Small 2507 | 10tok/sQ8_0 | 28tok/sQ5_K_M |
| Magistral Small 2506 | 10tok/sQ8_0 | 28tok/sQ5_K_M |
| Magistral Small 2507 | 10tok/sQ8_0 | 28tok/sQ5_K_M |
| Magistral Small 2509 | 10tok/sQ8_0 | 28tok/sQ5_K_M |
| Qwen 3.5 122B-A10B | offload | offload |
| Qwen3 Coder Next | offload | offload |
| Nemotron 3 Super 120B-A12B | offload | won't run |
| Mistral Small 4 119B | offload | offload |
| GLM 4.5 Air | offload | offload |
| Qwen3 Next 80B-A3B | offload | offload |
| Llama 3.3 70B | offload | won't run |
| DeepSeek R1 Distill Llama 70B | offload | won't run |
| 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 |
| gpt-oss 120B | 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 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 Pro B70 or the NVIDIA GeForce RTX 3090 Ti?
- Choose the Intel Arc Pro B70 to run bigger models. Choose the NVIDIA GeForce RTX 3090 Ti for speed. Choose the Intel Arc Pro B70 to spend less.
- Which can run bigger models, the Intel Arc Pro B70 or the NVIDIA GeForce RTX 3090 Ti?
- At 32k context the Intel Arc Pro B70 runs 61 of the models we track fully in memory and the NVIDIA GeForce RTX 3090 Ti 57; only the Intel Arc Pro B70 holds Kimi Linear 48B-A3B.
- Which is faster for local AI, the Intel Arc Pro B70 or the NVIDIA GeForce RTX 3090 Ti?
- On the models both run fully in memory, the NVIDIA GeForce RTX 3090 Ti is about 2.1× as fast as the Intel Arc Pro B70 (estimated, median across models).
- What is the price difference between the Intel Arc Pro B70 and the NVIDIA GeForce RTX 3090 Ti?
- In the US the Intel Arc Pro B70 costs $1,900 at eBay and the NVIDIA GeForce RTX 3090 Ti $1,999 at Amazon: the Intel Arc Pro B70 is $99 cheaper.
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- Intel Arc Pro B70 vs NVIDIA RTX PRO 4000 Blackwell
- Mac mini M4 Pro 48GB vs NVIDIA GeForce RTX 3090 Ti
- NVIDIA GeForce RTX 3090 vs NVIDIA GeForce RTX 3090 Ti
- NVIDIA GeForce RTX 3090 Ti vs NVIDIA GeForce RTX 4090