NVIDIA RTX PRO 6000 Blackwell Workstation Edition vs NVIDIA T4, AI & Machine Learning Comparison
NVIDIA RTX PRO 6000 Blackwell Workstation Edition wins 140 of 142 benchmarks, averaging 502% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in TinyLlama 1.1B LoRA, where NVIDIA RTX PRO 6000 Blackwell Workstation Edition leads by 1121% (18556.4 vs 1520.1 train tok/s); the closest fight is Depth Anything V2 Small (125% apart); VRAM decides part of this one: NVIDIA RTX PRO 6000 Blackwell Workstation Edition runs 144 of our 12 AI workloads while the other card runs 111, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA RTX PRO 6000 Blackwell Workstation Edition | NVIDIA T4 | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 362.81 | 67.71 | +436% |
| Llama 3.1 8B tok/s | 258.37 | 35.01 | +638% |
| Qwen2.5-Coder 14B tok/s | 147.74 | 19.76 | +648% |
| Qwen3 32B tok/s | 70.13 | 0 | n/a |
| Llama 3.3 70B tok/s | 34.87 | 0 | n/a |
| Stable Diffusion XL images/min | 27.94 | 2.36 | +1084% |
| FLUX.1 dev images/min | 6.921 | 0 | n/a |
| FLUX.1 Kontext dev images/min | 3.086 | 0 | n/a |
| Qwen-Image-Edit images/min | 2.64 | 0 | n/a |
| DeepSeek-R1 Distill Llama 8B tok/s | 235.07 | 36.36 | +547% |
| DeepSeek-R1 Distill 1.5B tok/s | 635.1 | 148.72 | +327% |
| DeepSeek-R1 Distill 14B tok/s | 135.41 | 19.21 | +605% |
| DeepSeek-R1 Distill 7B tok/s | 256.04 | 37.58 | +581% |
| Gemma 3 12B tok/s | 138.09 | 23.12 | +497% |
| Gemma 3 4B tok/s | 297.73 | 65.12 | +357% |
| Gemma 4 12B tok/s | 137.73 | 24.03 | +473% |
| Llama 3.2 1B tok/s | 892.74 | 207.71 | +330% |
| Llama 3.2 3B tok/s | 435.63 | 85.94 | +407% |
| Mistral 7B v0.3 tok/s | 247.33 | 40.01 | +518% |
| Mistral Small 24B tok/s | 93.55 | 11.33 | +726% |
| Phi-4 14B tok/s | 142.68 | 17.46 | +717% |
| Phi-4 Mini 3.8B tok/s | 391.04 | 64.15 | +510% |
| Qwen2.5-Coder 7B tok/s | 256.11 | 37.54 | +582% |
| Qwen3 0.6B tok/s | 788.97 | 263.47 | +199% |
| Qwen3 1.7B tok/s | 575.77 | 139.92 | +311% |
| Qwen3 14B tok/s | 139.01 | 19.31 | +620% |
| Qwen3 30B A3B tok/s | 308.74 | 0 | n/a |
| Qwen3 8B tok/s | 225.95 | 36.51 | +519% |
| SmolLM3 3B tok/s | 406.45 | 86.08 | +372% |
| Codestral 22B tok/s | 92.7 | 12.59 | +636% |
| DeepSeek-R1 Distill 32B tok/s | 66.06 | 0 | n/a |
| Devstral Small 24B tok/s | 93.52 | 11.4 | +720% |
| Dolphin 2.9.1 Yi 1.5 34B tok/s | 63.74 | 0 | n/a |
| Dolphin Mistral 24B Venice tok/s | 93.67 | 11.36 | +725% |
| Dolphin X1 8B tok/s | 239.4 | 35.66 | +571% |
| Dolphin 3.0 Llama 3.1 8B tok/s | 239.28 | 35.68 | +571% |
| Dolphin 3.0 R1 Mistral 24B tok/s | 93.62 | 11.32 | +727% |
| Gemma 3 27B tok/s | 72.1 | 0 | n/a |
| Qwen2.5-Coder 32B tok/s | 66.07 | 0 | n/a |
| Qwen3-Coder 30B A3B tok/s | 317.68 | 0 | n/a |
| QwQ 32B tok/s | 66.07 | 0 | n/a |
| StarCoder2 15B tok/s | 122.09 | 15.66 | +680% |
| FLUX.1 Schnell images/min | 42.41 | 0 | n/a |
| BiRefNet images/min | 1445.92 | 183.48 | +688% |
| Depth Anything V2 Large images/min | 1328.11 | 402.34 | +230% |
| Depth Anything V2 Small images/min | 1374.58 | 612.25 | +125% |
| SAM ViT-Base images/min | 1079.89 | 180.73 | +498% |
| SAM ViT-Huge images/min | 193.47 | 34.91 | +454% |
| Swin2SR 4x Upscaler images/min | 52.83 | 10.53 | +402% |
| Qwen2.5 1.5B LoRA train tok/s | 15753.9 | 1434.4 | +998% |
| Qwen2.5 7B LoRA train tok/s | 6041.8 | 0 | n/a |
| SmolLM2 1.7B LoRA train tok/s | 16255.4 | 1561.9 | +941% |
| TinyLlama 1.1B LoRA train tok/s | 18556.4 | 1520.1 | +1121% |
| Qwen2.5 1.5B served serve tok/s | 5786.7 | 1337.1 | +333% |
| Qwen2.5 7B served serve tok/s | 2282.8 | 0 | n/a |
| SmolLM2 1.7B served serve tok/s | 5642 | 1222.5 | +362% |
| TinyLlama 1.1B served serve tok/s | 7678.7 | 1897.8 | +305% |
| Dolphin X1 Trinity Nano 6B tok/s | 282.02 | 114.21 | +147% |
| gpt-oss-20b tok/s | 375.09 | 63.63 | +489% |
| Olmo-3.1-32B-Think tok/s | 65.71 | 0 | n/a |
| Dolphin-Mistral-24B-Venice-Edition tok/s | 93.71 | 11.33 | +727% |
| DeepSeek-Coder-V2-Lite tok/s | 352.52 | 83.49 | +322% |
| DeepSeek-R1-0528-Qwen3-8B tok/s | 226.85 | 37.7 | +502% |
| DeepSeek-R1-Distill-Llama-70B tok/s | 32.52 | 0 | n/a |
| EVA-Qwen2.5-14B-v0.2 tok/s | 135.83 | 19.92 | +582% |
| gemma-2-2b-it-abliterated tok/s | 416.68 | 91.91 | +353% |
| gemma-2-2b tok/s | 417.07 | 92.13 | +353% |
| gemma-2-9b tok/s | 156.29 | 28.62 | +446% |
| gemma-3-1b tok/s | 567.1 | 156.88 | +261% |
| gemma-3-270m tok/s | 965 | 362.8 | +166% |
| GLM-4.7-Flash-REAP-23B-A3B tok/s | 199.14 | 53.83 | +270% |
| GLM-4.7-Flash tok/s | 215.61 | 0 | n/a |
| Josiefied-Qwen3-8B-abliterated-v1 tok/s | 227.15 | 35.62 | +538% |
| SmolLM3-3B tok/s | 409.73 | 86.86 | +372% |
| Qwen3-Coder-Next-abliterated tok/s | 210.47 | 0 | n/a |
| KAT-Coder-V2.5-Dev tok/s | 253.35 | 0 | n/a |
| L3-8B-Stheno-v3.2 tok/s | 239.84 | 36.28 | +561% |
| Laguna-XS-2.1 tok/s | 0 | 0 | n/a |
| LFM2.5-1.2B tok/s | 989.91 | 221.66 | +347% |
| LFM2.5-8B-A1B tok/s | 617.09 | 139.03 | +344% |
| Llama-2-7B tok/s | 263.84 | 42.98 | +514% |
| Llama-3.2-3B-Instruct-uncensored tok/s | 440.15 | 86.29 | +410% |
| Llama-3.3-70B-Instruct-abliterated tok/s | 32.53 | 0 | n/a |
| Meta-Llama-3.1-70B tok/s | 32.52 | 0 | n/a |
| Meta-Llama-3.1-8B tok/s | 237.69 | 37.8 | +529% |
| Phi-4-mini tok/s | 393.81 | 66 | +497% |
| Mistral-7B-Instruct-v0.1 tok/s | 252.55 | 40.63 | +522% |
| Mistral-7B-Instruct-v0.2 tok/s | 253.34 | 41.31 | +513% |
| Mistral-7B-Instruct-v0.3 tok/s | 253.2 | 39.87 | +535% |
| Mistral-Nemo-Instruct-2407 tok/s | 164.28 | 22.98 | +615% |
| Nanbeige4.2-3B tok/s | 0 | 0 | n/a |
| Hermes-4-14B tok/s | 139.56 | 19.02 | +634% |
| Ornith-1.0-35B tok/s | 237.7 | 0 | n/a |
| Ornith-1.0-9B tok/s | 201.69 | 32.93 | +512% |
| phi-2 tok/s | 410.12 | 89.6 | +358% |
| Phi-3.5-mini tok/s | 362.79 | 72.07 | +403% |
| Qwen-AgentWorld-35B-A3B tok/s | 234.82 | 0 | n/a |
| Qwen3-0.6B tok/s | 806.77 | 259.91 | +210% |
| Qwen3-1.7B tok/s | 593.5 | 135.21 | +339% |
| Qwen3-14B tok/s | 139.45 | 19.44 | +617% |
| Qwen3-8B tok/s | 226.88 | 37.37 | +507% |
| Qwen3-Coder-Next tok/s | 205.69 | 0 | n/a |
| Qwen3-Next-80B-A3B-Thinking tok/s | 203.29 | 0 | n/a |
| Qwen2.5-0.5B tok/s | 905.27 | 295.47 | +206% |
| Qwen2.5-1.5B tok/s | 636.39 | 148.14 | +330% |
| Qwen2.5-14B tok/s | 135.66 | 19.84 | +584% |
| Qwen2.5-32B tok/s | 66 | 0 | n/a |
| Qwen2.5-3B tok/s | 398.72 | 86.04 | +363% |
| Qwen2.5-72B tok/s | 29.65 | 0 | n/a |
| Qwen2.5-7B tok/s | 256.63 | 39.01 | +558% |
| Qwen2.5-Coder-1.5B tok/s | 650.4 | 148.51 | +338% |
| Qwen2.5-Coder-14B-Instruct-abliterated tok/s | 135.88 | 18.86 | +620% |
| Qwen2.5-Coder-3B tok/s | 401.24 | 85.74 | +368% |
| Qwen3-4B-Instruct-2507 tok/s | 334.71 | 67.45 | +396% |
| Qwen3-Coder-Next tok/s | 211.5 | 0 | n/a |
| Qwen3-Next-80B-A3B tok/s | 210.17 | 0 | n/a |
| SmolLM2-135M tok/s | 1252.77 | 416.24 | +201% |
| Cydonia-24B-v4.3 tok/s | 93.76 | 11.21 | +736% |
| AI21-Jamba-Reasoning-3B tok/s | 400.02 | 86.91 | +360% |
| Codestral 22B (Q3_K_M) tok/s | 107.67 | 11.3 | +853% |
| DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored tok/s | 239.45 | 35.73 | +570% |
| DeepSeek-R1 Distill 14B (Q3_K_M) tok/s | 149.81 | 16.86 | +789% |
| DeepSeek-R1-Distill-Qwen-32B-abliterated tok/s | 66.03 | 0 | n/a |
| dolphin-2.9-llama3-8b tok/s | 239.29 | 35.1 | +582% |
| Gemma 3 12B (Q3_K_M) tok/s | 153.93 | 19.79 | +678% |
| Hermes-3-Llama-3.2-3B tok/s | 439.65 | 84.99 | +417% |
| Hermes-4-70B tok/s | 32.51 | 0 | n/a |
| Mistral Small 24B (Q3_K_M) tok/s | 108.88 | 10.13 | +975% |
| NemoMix-Unleashed-12B tok/s | 164.21 | 23.19 | +608% |
| Nemotron-3-Nano-30B-A3B tok/s | 325.43 | 0 | n/a |
| Phi-4 14B (Q3_K_M) tok/s | 165.43 | 16.04 | +931% |
| Qwen3-30B-A3B tok/s | 311.76 | 0 | n/a |
| Qwen3-4B-Instruct-2507 tok/s | 333.54 | 66.89 | +399% |
| Qwen1.5-0.5B tok/s | 1025.58 | 328.29 | +212% |
| Qwen2-1.5B tok/s | 648.49 | 147.68 | +339% |
| Uncensored tok/s | 135.68 | 18.94 | +616% |
| Qwen2.5-Coder-0.5B tok/s | 910.13 | 294.96 | +209% |
| Qwen2.5-Coder 32B (Q3_K_M) tok/s | 75.78 | 0 | n/a |
| Qwen2.5-Coder-7B-Instruct-abliterated tok/s | 257.07 | 37.31 | +589% |
| Qwen3 30B A3B (Q3_K_M) tok/s | 309.61 | 61.82 | +401% |
| Qwen3-4B-Thinking-2507 tok/s | 334.65 | 67 | +399% |
| Qwen3-Next-80B-A3B-Thinking tok/s | 214.04 | 0 | n/a |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA RTX PRO 6000 Blackwell Workstation Edition is faster on 4 of 4; NVIDIA T4 on 0.
| Workflow | NVIDIA RTX PRO 6000 Blackwell Workstation Edition | NVIDIA T4 | Difference |
|---|---|---|---|
| 50-image depth pass | 4 s | 13 s | NVIDIA RTX PRO 6000 Blackwell Workstation Edition 3.20x faster |
| 500-image masking run | 2.6 min | 14.4 min | NVIDIA RTX PRO 6000 Blackwell Workstation Edition 5.49x faster |
| 200-product catalogue cutout | 4 min | 20.3 min | NVIDIA RTX PRO 6000 Blackwell Workstation Edition 5.04x faster |
| Full codebase review | 6.8 min | 50.7 min | NVIDIA RTX PRO 6000 Blackwell Workstation Edition 7.49x faster |
Specifications compared
| NVIDIA RTX PRO 6000 Blackwell Workstation Edition | NVIDIA T4 | |
|---|---|---|
| VRAM | 96GB | 16GB |
| Architecture | Blackwell | Turing |
| Memory bandwidth | 1792 GB/s | 320 GB/s |
| Boost clock | 2,617 MHz | 1,590 MHz |
| TDP | 600 W | 70 W |
| Launch MSRP | $8,565 | $2,299 |
| Release | 2025-03-18 | 2018-09-13 |
FAQ
- Which is better for ai & machine learning: NVIDIA RTX PRO 6000 Blackwell Workstation Edition or NVIDIA T4?
- NVIDIA RTX PRO 6000 Blackwell Workstation Edition performs better for ai & machine learning, winning 140 of 142 benchmarks in our suite with an average 502% advantage.
- What are the main hardware differences between NVIDIA RTX PRO 6000 Blackwell Workstation Edition and NVIDIA T4?
- NVIDIA RTX PRO 6000 Blackwell Workstation Edition has 96GB VRAM and a 600W TDP, while NVIDIA T4 has 16GB VRAM and a 70W TDP.
- Does VRAM matter more than speed between NVIDIA RTX PRO 6000 Blackwell Workstation Edition and NVIDIA T4?
- For AI, yes, NVIDIA RTX PRO 6000 Blackwell Workstation Edition fits 42 more of our 12 workloads than NVIDIA T4. A model that exceeds VRAM doesn't run slower, it doesn't run at all, so the card that fits the model wins that workload outright.
- Where is the biggest performance difference between NVIDIA RTX PRO 6000 Blackwell Workstation Edition and NVIDIA T4?
- TinyLlama 1.1B LoRA: NVIDIA RTX PRO 6000 Blackwell Workstation Edition leads by roughly 1121% (18556.4 vs 1520.1 train tok/s) in our testing.
NVIDIA RTX PRO 6000 Blackwell Workstation Edition full review · NVIDIA T4 full review · All AI & Machine Learning rankings