NVIDIA B300 vs NVIDIA RTX PRO 6000 Blackwell Workstation Edition, AI & Machine Learning Comparison
NVIDIA B300 wins 92 of 141 benchmarks, averaging 18.7% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in FLUX.1 Kontext dev, where NVIDIA B300 leads by 235% (10.329 vs 3.086 images/min); the closest fight is gemma-2-2b (0% apart).
Benchmark results head-to-head
| Benchmark | NVIDIA B300 | NVIDIA RTX PRO 6000 Blackwell Workstation Edition | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 333.34 | 362.81 | -8% |
| Llama 3.1 8B tok/s | 287.23 | 258.37 | +11% |
| Qwen2.5-Coder 14B tok/s | 158.49 | 147.74 | +7% |
| Qwen3 32B tok/s | 83.68 | 70.13 | +19% |
| Llama 3.3 70B tok/s | 47.97 | 34.87 | +38% |
| Stable Diffusion XL images/min | 29.2 | 27.94 | +5% |
| Z-Image Turbo images/min | 39.675 | 15.6 | +154% |
| FLUX.1 dev images/min | 20.807 | 6.921 | +201% |
| FLUX.1 Kontext dev images/min | 10.329 | 3.086 | +235% |
| Qwen-Image-Edit images/min | 8.14 | 2.64 | +208% |
| LTX-Video (distilled) frames/s | 31.87 | 16.36 | +95% |
| DeepSeek-R1 Distill Llama 8B tok/s | 283.77 | 235.07 | +21% |
| DeepSeek-R1 Distill 1.5B tok/s | 562.14 | 635.1 | -11% |
| DeepSeek-R1 Distill 14B tok/s | 156.33 | 135.41 | +15% |
| DeepSeek-R1 Distill 7B tok/s | 284.77 | 256.04 | +11% |
| Gemma 3 12B tok/s | 161.27 | 138.09 | +17% |
| Gemma 3 4B tok/s | 301.07 | 297.73 | +1% |
| Gemma 4 12B tok/s | 155.96 | 137.73 | +13% |
| Llama 3.2 1B tok/s | 889.19 | 892.74 | -0% |
| Llama 3.2 3B tok/s | 432.24 | 435.63 | -1% |
| Mistral 7B v0.3 tok/s | 298.95 | 247.33 | +21% |
| Mistral Small 24B tok/s | 119.3 | 93.55 | +28% |
| Phi-4 14B tok/s | 177.41 | 142.68 | +24% |
| Phi-4 Mini 3.8B tok/s | 398.16 | 391.04 | +2% |
| Qwen2.5-Coder 7B tok/s | 286.5 | 256.11 | +12% |
| Qwen3 0.6B tok/s | 718.58 | 788.97 | -9% |
| Qwen3 1.7B tok/s | 555.1 | 575.77 | -4% |
| Qwen3 14B tok/s | 165.44 | 139.01 | +19% |
| Qwen3 30B A3B tok/s | 284.66 | 308.74 | -8% |
| Qwen3 8B tok/s | 261.4 | 225.95 | +16% |
| SmolLM3 3B tok/s | 411.25 | 406.45 | +1% |
| Codestral 22B tok/s | 119.81 | 92.7 | +29% |
| DeepSeek-R1 Distill 32B tok/s | 82.9 | 66.06 | +25% |
| Devstral Small 24B tok/s | 121.18 | 93.52 | +30% |
| Dolphin 2.9.1 Yi 1.5 34B tok/s | 85.15 | 63.74 | +34% |
| Dolphin Mistral 24B Venice tok/s | 120.93 | 93.67 | +29% |
| Dolphin X1 8B tok/s | 287.02 | 239.4 | +20% |
| Dolphin 3.0 Llama 3.1 8B tok/s | 285.88 | 239.28 | +19% |
| Dolphin 3.0 R1 Mistral 24B tok/s | 120.95 | 93.62 | +29% |
| Gemma 3 27B tok/s | 93.44 | 72.1 | +30% |
| Qwen2.5-Coder 32B tok/s | 82.9 | 66.07 | +25% |
| Qwen3-Coder 30B A3B tok/s | 284.88 | 317.68 | -10% |
| QwQ 32B tok/s | 82.91 | 66.07 | +25% |
| StarCoder2 15B tok/s | 144.05 | 122.09 | +18% |
| FLUX.1 Schnell images/min | 59.54 | 42.41 | +40% |
| Z-Image Turbo (1024px) images/min | 48.63 | 31.43 | +55% |
| BiRefNet images/min | 1064.73 | 1445.92 | -26% |
| Depth Anything V2 Large images/min | 1069.95 | 1328.11 | -19% |
| Depth Anything V2 Small images/min | 1491.6 | 1374.58 | +9% |
| SAM ViT-Base images/min | 1719.59 | 1079.89 | +59% |
| SAM ViT-Huge images/min | 399.37 | 193.47 | +106% |
| Swin2SR 4x Upscaler images/min | 58.29 | 52.83 | +10% |
| Qwen2.5 1.5B LoRA train tok/s | 22351.1 | 15753.9 | +42% |
| Qwen2.5 7B LoRA train tok/s | 14323.1 | 6041.8 | +137% |
| SmolLM2 1.7B LoRA train tok/s | 26114.3 | 16255.4 | +61% |
| TinyLlama 1.1B LoRA train tok/s | 26938.2 | 18556.4 | +45% |
| AI21-Jamba-Reasoning-3B tok/s | 380.88 | 400.02 | -5% |
| Olmo-3.1-32B-Think tok/s | 87.85 | 65.71 | +34% |
| Codestral 22B (Q3_K_M) tok/s | 107.98 | 107.67 | 0% |
| Dolphin-Mistral-24B-Venice-Edition tok/s | 121.87 | 93.71 | +30% |
| DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored tok/s | 292.55 | 239.45 | +22% |
| DeepSeek-Coder-V2-Lite tok/s | 340.53 | 352.52 | -3% |
| DeepSeek-R1-0528-Qwen3-8B tok/s | 270.35 | 226.85 | +19% |
| DeepSeek-R1-Distill-Llama-70B tok/s | 48.11 | 32.52 | +48% |
| DeepSeek-R1 Distill 14B (Q3_K_M) tok/s | 144.74 | 149.81 | -3% |
| DeepSeek-R1-Distill-Qwen-32B-abliterated tok/s | 83.19 | 66.03 | +26% |
| dolphin-2.9-llama3-8b tok/s | 290.47 | 239.29 | +21% |
| Dolphin X1 Trinity Nano 6B tok/s | 257.93 | 282.02 | -9% |
| EVA-Qwen2.5-14B-v0.2 tok/s | 159.46 | 135.83 | +17% |
| gemma-2-2b-it-abliterated tok/s | 418.18 | 416.68 | 0% |
| gemma-2-2b tok/s | 417.84 | 417.07 | 0% |
| gemma-2-9b tok/s | 202.22 | 156.29 | +29% |
| Gemma 3 12B (Q3_K_M) tok/s | 149.61 | 153.93 | -3% |
| gemma-3-1b tok/s | 533.32 | 567.1 | -6% |
| gemma-3-270m tok/s | 926.67 | 965 | -4% |
| GLM-4.7-Flash-REAP-23B-A3B tok/s | 178.49 | 199.14 | -10% |
| GLM-4.7-Flash tok/s | 196.52 | 215.61 | -9% |
| Josiefied-Qwen3-8B-abliterated-v1 tok/s | 270.09 | 227.15 | +19% |
| gpt-oss-20b tok/s | 355.56 | 375.09 | -5% |
| Hermes-3-Llama-3.2-3B tok/s | 446.78 | 439.65 | +2% |
| Hermes-4-70B tok/s | 48.1 | 32.51 | +48% |
| SmolLM3-3B tok/s | 420.3 | 409.73 | +3% |
| Qwen3-Coder-Next-abliterated tok/s | 199.12 | 210.47 | -5% |
| KAT-Coder-V2.5-Dev tok/s | 239.66 | 253.35 | -5% |
| L3-8B-Stheno-v3.2 tok/s | 293 | 239.84 | +22% |
| Laguna-XS-2.1 tok/s | 0 | 0 | n/a |
| LFM2.5-1.2B tok/s | 955.13 | 989.91 | -4% |
| LFM2.5-8B-A1B tok/s | 596.16 | 617.09 | -3% |
| Llama-2-7B tok/s | 315.9 | 263.84 | +20% |
| Llama-3.2-3B-Instruct-uncensored tok/s | 448.94 | 440.15 | +2% |
| Llama-3.3-70B-Instruct-abliterated tok/s | 48.1 | 32.53 | +48% |
| Meta-Llama-3.1-70B tok/s | 48.12 | 32.52 | +48% |
| Meta-Llama-3.1-8B tok/s | 293 | 237.69 | +23% |
| Phi-4-mini tok/s | 409.58 | 393.81 | +4% |
| Mistral-7B-Instruct-v0.1 tok/s | 306.44 | 252.55 | +21% |
| Mistral-7B-Instruct-v0.2 tok/s | 306.79 | 253.34 | +21% |
| Mistral-7B-Instruct-v0.3 tok/s | 306.46 | 253.2 | +21% |
| Mistral-Nemo-Instruct-2407 tok/s | 196.92 | 164.28 | +20% |
| Mistral Small 24B (Q3_K_M) tok/s | 108.37 | 108.88 | -0% |
| Nanbeige4.2-3B tok/s | 0 | 0 | n/a |
| NemoMix-Unleashed-12B tok/s | 197.06 | 164.21 | +20% |
| Nemotron-3-Nano-30B-A3B tok/s | 345.31 | 325.43 | +6% |
| Hermes-4-14B tok/s | 169.51 | 139.56 | +21% |
| Ornith-1.0-35B tok/s | 232.36 | 237.7 | -2% |
| Ornith-1.0-9B tok/s | 240.67 | 201.69 | +19% |
| phi-2 tok/s | 356.65 | 410.12 | -13% |
| Phi-3.5-mini tok/s | 352.25 | 362.79 | -3% |
| Phi-4 14B (Q3_K_M) tok/s | 165.06 | 165.43 | -0% |
| Qwen-AgentWorld-35B-A3B tok/s | 233.04 | 234.82 | -1% |
| Qwen3-0.6B tok/s | 742.64 | 806.77 | -8% |
| Qwen3-1.7B tok/s | 575.97 | 593.5 | -3% |
| Qwen3-14B tok/s | 169.52 | 139.45 | +22% |
| Qwen3-30B-A3B tok/s | 291.82 | 311.76 | -6% |
| Qwen3-4B-Instruct-2507 tok/s | 339.78 | 333.54 | +2% |
| Qwen3-8B tok/s | 270.35 | 226.88 | +19% |
| Qwen3-Coder-Next tok/s | 196.34 | 205.69 | -5% |
| Qwen3-Next-80B-A3B-Thinking tok/s | 194.98 | 203.29 | -4% |
| Qwen1.5-0.5B tok/s | 894.84 | 1025.58 | -13% |
| Qwen2-1.5B tok/s | 583.79 | 648.49 | -10% |
| Qwen2.5-0.5B tok/s | 843.4 | 905.27 | -7% |
| Qwen2.5-1.5B tok/s | 584.96 | 636.39 | -8% |
| Uncensored tok/s | 159.48 | 135.68 | +18% |
| Qwen2.5-14B tok/s | 159.33 | 135.66 | +17% |
| Qwen2.5-32B tok/s | 83.41 | 66 | +26% |
| Qwen2.5-3B tok/s | 409.56 | 398.72 | +3% |
| Qwen2.5-72B tok/s | 48.28 | 29.65 | +63% |
| Qwen2.5-7B tok/s | 293.63 | 256.63 | +14% |
| Qwen2.5-Coder-0.5B tok/s | 843.44 | 910.13 | -7% |
| Qwen2.5-Coder-1.5B tok/s | 584.5 | 650.4 | -10% |
| Qwen2.5-Coder-14B-Instruct-abliterated tok/s | 159.5 | 135.88 | +17% |
| Qwen2.5-Coder 32B (Q3_K_M) tok/s | 74.28 | 75.78 | -2% |
| Qwen2.5-Coder-3B tok/s | 410.06 | 401.24 | +2% |
| Qwen2.5-Coder-7B-Instruct-abliterated tok/s | 292.21 | 257.07 | +14% |
| Qwen3 30B A3B (Q3_K_M) tok/s | 268.71 | 309.61 | -13% |
| Qwen3-4B-Instruct-2507 tok/s | 339.72 | 334.71 | +1% |
| Qwen3-4B-Thinking-2507 tok/s | 339.74 | 334.65 | +2% |
| Qwen3-Coder-Next tok/s | 199.39 | 211.5 | -6% |
| Qwen3-Next-80B-A3B-Thinking tok/s | 200.55 | 214.04 | -6% |
| Qwen3-Next-80B-A3B tok/s | 191.32 | 210.17 | -9% |
| SmolLM2-135M tok/s | 855.87 | 1252.77 | -32% |
| Cydonia-24B-v4.3 tok/s | 121.9 | 93.76 | +30% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA B300 is faster on 12 of 13; NVIDIA RTX PRO 6000 Blackwell Workstation Edition on 1.
| Workflow | NVIDIA B300 | NVIDIA RTX PRO 6000 Blackwell Workstation Edition | Difference |
|---|---|---|---|
| 50-image depth pass | 5 s | 4 s | NVIDIA RTX PRO 6000 Blackwell Workstation Edition 1.12x faster |
| 500-image masking run | 78 s | 2.6 min | NVIDIA B300 2.03x faster |
| 24-frame storyboard | 1.5 min | 3.6 min | NVIDIA B300 2.43x faster |
| 6-panel comic page | 2 min | 5.1 min | NVIDIA B300 2.50x faster |
| 60-second AI short film | 2.2 min | 4.5 min | NVIDIA B300 2.09x faster |
| Character sheet, 12 poses | 2.2 min | 6.1 min | NVIDIA B300 2.75x faster |
| 200-product catalogue cutout | 3.7 min | 4 min | NVIDIA B300 1.08x faster |
| 40-product photo shoot | 6.1 min | 16.7 min | NVIDIA B300 2.75x faster |
| Full codebase review | 6.3 min | 6.8 min | NVIDIA B300 1.07x faster |
| 40-product shoot, start to finish | 6.9 min | 17.6 min | NVIDIA B300 2.55x faster |
| 20 long-form articles | 9.7 min | 13.4 min | NVIDIA B300 1.38x faster |
| 100-photo restoration batch | 10.2 min | 33.4 min | NVIDIA B300 3.28x faster |
| 100-photo restore and enlarge | 11.9 min | 35.3 min | NVIDIA B300 2.97x faster |
Specifications compared
| NVIDIA B300 | NVIDIA RTX PRO 6000 Blackwell Workstation Edition | |
|---|---|---|
| VRAM | 288GB | 96GB |
| Architecture | Blackwell Ultra | Blackwell |
| Memory bandwidth | 8 TB/s | 1792 GB/s |
| Boost clock | n/a | 2,617 MHz |
| TDP | 1400 W | 600 W |
| Launch MSRP | $40,000 | $8,565 |
| Release | 2025-11-01 | 2025-03-18 |
FAQ
- Which is better for ai & machine learning: NVIDIA B300 or NVIDIA RTX PRO 6000 Blackwell Workstation Edition?
- NVIDIA B300 performs better for ai & machine learning, winning 92 of 141 benchmarks in our suite with an average 18.7% advantage.
- What are the main hardware differences between NVIDIA B300 and NVIDIA RTX PRO 6000 Blackwell Workstation Edition?
- NVIDIA B300 has 288GB VRAM and a 1400W TDP, while NVIDIA RTX PRO 6000 Blackwell Workstation Edition has 96GB VRAM and a 600W TDP.
- Where is the biggest performance difference between NVIDIA B300 and NVIDIA RTX PRO 6000 Blackwell Workstation Edition?
- FLUX.1 Kontext dev: NVIDIA B300 leads by roughly 235% (10.329 vs 3.086 images/min) in our testing.
NVIDIA B300 full review · NVIDIA RTX PRO 6000 Blackwell Workstation Edition full review · All AI & Machine Learning rankings