Intel Arc Pro B70 vs RTX PRO 6000 Blackwell
Best sourced output tok/s per model (single-stream generation) — engine and version, quantization, context and a source link on every row. Hover a value for the quant.
Intel Arc Pro B7018 sourced runs · best 283.1 tok/s
RTX PRO 6000 Blackwell29 verified runs · best 1271.3 tok/s
Specs and evidence
| Intel Arc Pro B70 | RTX PRO 6000 Blackwell | |
|---|---|---|
| VRAM | 32 GB | 96 GB |
| Sourced runs on the board | 18 | 29 |
| Models measured | 16 | 23 |
| Best output tok/s | 283.1 tok/s | 1271.3 tok/s |
| Highest measured peak VRAM | 23.2 GB | 72.7 GB |
| Street price (latest snapshot) | $1,300 | — |
Head-to-head
On the 4 models measured on both cards, Intel Arc Pro B70 leads on 0, RTX PRO 6000 Blackwell on 4. The widest gap is on Qwen3.8-27B: Intel Arc Pro B70 27.8 tok/s vs RTX PRO 6000 Blackwell 296.0 tok/s (RTX PRO 6000 Blackwell 964% faster).
The measured matrix
| Model | Intel Arc Pro B70 | RTX PRO 6000 Blackwell |
|---|---|---|
| MobileLLM-125M | — | 1271.3 |
| Qwen2.5-0.5B-Instruct | — | 1060.0 |
| MobileLLM-350M | — | 980.8 |
| SmolLM2-360M-Instruct | — | 968.1 |
| Qwen3-0.6B | — | 956.4 |
| Llama-3.2-1B-Instruct | — | 699.9 |
| gemma-3-1b-it | — | 664.3 |
| Llama-3.2-3B-Instruct | — | 489.2 |
| Ling-3.0-tiny | — | 369.1 |
| Qwen3.6-35B-A3B | 248.3 | 330.2 |
| Ornith-1.0-35B | — | 309.7 |
| Qwen3.8-27B | 27.8 | 296.0 |
| Laguna-XS-2.1 | 283.1 | — |
| DeepSeek-Coder-V2-Lite-Instruct | — | 237.3 |
| Ornith-1.0-35B-B70-Turbo | 224.9 | — |
| Nex-N2-mini-B70-Turbo | 224.3 | — |
| SIQ-1-35B-B70-Turbo | 223.7 | — |
| Qwen-AgentWorld-35B-A3B-B70-Turbo | 209.0 | — |
| NVIDIA-Nemotron-3.5-Lightning-30B-A3B | 186.6 | — |
| Qwen3-Coder-Next | — | 174.3 |
| Llama-3.1-8B-Instruct | — | 158.1 |
| Muse-Glimmer-30B | 29.2 | 152.2 |
| LFM2.5-2.6B | 132.4 | — |
| Ornith-1.5-35B-A3B | 131.5 | — |
| Qwen3.8-27B-MTP | — | 112.1 |
| Qwen3.6-27B | — | 101.4 |
| Qwen3-14B | — | 90.8 |
| Kimi-Linear-48B-A3B-Instruct | — | 90.0 |
| Qwen3.6-27B-MTP | 36.0 | 60.1 |
| Gemma4-26B-A4B-QAT-Uncensored-HauhauCS-Balanced-MTP | 58.4 | — |
| Qwen2.5-Coder-14B-Instruct | — | 50.3 |
| Ornith-1.5-9B | 49.6 | — |
| ThinkingCap-Qwen3.6-27B | 27.9 | — |
| Qwen3-Coder-30B-A3B-Instruct | — | 26.1 |
| Qwen3.8-Flash-Next | 24.0 | — |