NVIDIA B300 vs NVIDIA L4, AI & Machine Learning Comparison
NVIDIA B300 wins 139 of 141 benchmarks, averaging 410.3% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in Wan 2.2 5B (720p), where NVIDIA B300 leads by 1860% (2.94 vs 0.15 frames/s); the closest fight is SmolLM2-135M (31% apart); VRAM decides part of this one: NVIDIA B300 runs 140 of our 12 AI workloads while the other card runs 138, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA B300 | NVIDIA L4 | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 333.34 | 84 | +297% |
| Llama 3.1 8B tok/s | 287.23 | 50.45 | +469% |
| Qwen2.5-Coder 14B tok/s | 158.49 | 27.46 | +477% |
| Qwen3 32B tok/s | 83.68 | 12.42 | +574% |
| Llama 3.3 70B tok/s | 47.97 | 0 | n/a |
| Stable Diffusion XL images/min | 29.2 | 5.18 | +464% |
| Z-Image Turbo images/min | 39.675 | 2.475 | +1503% |
| FLUX.1 dev images/min | 20.807 | 0 | n/a |
| FLUX.1 Kontext dev images/min | 10.329 | 0 | n/a |
| Qwen-Image-Edit images/min | 8.14 | 0 | n/a |
| Wan 2.2 5B (720p) frames/s | 2.94 | 0.15 | +1860% |
| DeepSeek-R1 Distill Llama 8B tok/s | 283.77 | 50.39 | +463% |
| DeepSeek-R1 Distill 1.5B tok/s | 562.14 | 191.38 | +194% |
| DeepSeek-R1 Distill 14B tok/s | 156.33 | 27.39 | +471% |
| DeepSeek-R1 Distill 7B tok/s | 284.77 | 53.27 | +435% |
| Gemma 3 12B tok/s | 161.27 | 31.01 | +420% |
| Gemma 3 4B tok/s | 301.07 | 82.03 | +267% |
| Gemma 4 12B tok/s | 155.96 | 31.49 | +395% |
| Llama 3.2 1B tok/s | 889.19 | 259.48 | +243% |
| Llama 3.2 3B tok/s | 432.24 | 107.1 | +304% |
| Mistral 7B v0.3 tok/s | 298.95 | 54.02 | +453% |
| Mistral Small 24B tok/s | 119.3 | 17.33 | +588% |
| Phi-4 14B tok/s | 177.41 | 27.24 | +551% |
| Phi-4 Mini 3.8B tok/s | 398.16 | 88.48 | +350% |
| Qwen2.5-Coder 7B tok/s | 286.5 | 53.26 | +438% |
| Qwen3 0.6B tok/s | 718.58 | 357.79 | +101% |
| Qwen3 1.7B tok/s | 555.1 | 177.5 | +213% |
| Qwen3 14B tok/s | 165.44 | 27.61 | +499% |
| Qwen3 30B A3B tok/s | 284.66 | 96.15 | +196% |
| Qwen3 8B tok/s | 261.4 | 48.95 | +434% |
| SmolLM3 3B tok/s | 411.25 | 112.07 | +267% |
| Codestral 22B tok/s | 119.81 | 18.14 | +560% |
| DeepSeek-R1 Distill 32B tok/s | 82.9 | 12.28 | +575% |
| Devstral Small 24B tok/s | 121.18 | 17.34 | +599% |
| Dolphin 2.9.1 Yi 1.5 34B tok/s | 85.15 | 11.92 | +614% |
| Dolphin Mistral 24B Venice tok/s | 120.93 | 17.34 | +597% |
| Dolphin X1 8B tok/s | 287.02 | 50.12 | +473% |
| Dolphin 3.0 Llama 3.1 8B tok/s | 285.88 | 50.24 | +469% |
| Dolphin 3.0 R1 Mistral 24B tok/s | 120.95 | 17.32 | +598% |
| Gemma 3 27B tok/s | 93.44 | 14.18 | +559% |
| Qwen2.5-Coder 32B tok/s | 82.9 | 12.29 | +575% |
| Qwen3-Coder 30B A3B tok/s | 284.88 | 99.14 | +187% |
| QwQ 32B tok/s | 82.91 | 12.28 | +575% |
| StarCoder2 15B tok/s | 144.05 | 24.4 | +490% |
| FLUX.1 Schnell images/min | 59.54 | 0 | n/a |
| Z-Image Turbo (1024px) images/min | 48.63 | 4.6 | +957% |
| BiRefNet images/min | 1064.73 | 305.81 | +248% |
| Depth Anything V2 Large images/min | 1069.95 | 770.37 | +39% |
| Depth Anything V2 Small images/min | 1491.6 | 916.66 | +63% |
| SAM ViT-Base images/min | 1719.59 | 315.89 | +444% |
| SAM ViT-Huge images/min | 399.37 | 70.46 | +467% |
| Swin2SR 4x Upscaler images/min | 58.29 | 18.23 | +220% |
| Qwen2.5 1.5B LoRA train tok/s | 22351.1 | 3720.9 | +501% |
| Qwen2.5 7B LoRA train tok/s | 14323.1 | 1063.9 | +1246% |
| SmolLM2 1.7B LoRA train tok/s | 26114.3 | 3240.2 | +706% |
| TinyLlama 1.1B LoRA train tok/s | 26938.2 | 4756 | +466% |
| AI21-Jamba-Reasoning-3B tok/s | 380.88 | 107.59 | +254% |
| Olmo-3.1-32B-Think tok/s | 87.85 | 12.27 | +616% |
| Codestral 22B (Q3_K_M) tok/s | 107.98 | 17.96 | +501% |
| Dolphin-Mistral-24B-Venice-Edition tok/s | 121.87 | 17.2 | +609% |
| DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored tok/s | 292.55 | 48.82 | +499% |
| DeepSeek-Coder-V2-Lite tok/s | 340.53 | 110.11 | +209% |
| DeepSeek-R1-0528-Qwen3-8B tok/s | 270.35 | 49.07 | +451% |
| DeepSeek-R1-Distill-Llama-70B tok/s | 48.11 | 0 | n/a |
| DeepSeek-R1 Distill 14B (Q3_K_M) tok/s | 144.74 | 27.87 | +419% |
| DeepSeek-R1-Distill-Qwen-32B-abliterated tok/s | 83.19 | 12.26 | +579% |
| dolphin-2.9-llama3-8b tok/s | 290.47 | 50.04 | +480% |
| Dolphin X1 Trinity Nano 6B tok/s | 257.93 | 166.6 | +55% |
| EVA-Qwen2.5-14B-v0.2 tok/s | 159.46 | 27.3 | +484% |
| gemma-2-2b-it-abliterated tok/s | 418.18 | 113 | +270% |
| gemma-2-2b tok/s | 417.84 | 114.17 | +266% |
| gemma-2-9b tok/s | 202.22 | 33.8 | +498% |
| Gemma 3 12B (Q3_K_M) tok/s | 149.61 | 32.29 | +363% |
| gemma-3-1b tok/s | 533.32 | 216.27 | +147% |
| gemma-3-270m tok/s | 926.67 | 493.31 | +88% |
| GLM-4.7-Flash-REAP-23B-A3B tok/s | 178.49 | 70.87 | +152% |
| GLM-4.7-Flash tok/s | 196.52 | 75.03 | +162% |
| Josiefied-Qwen3-8B-abliterated-v1 tok/s | 270.09 | 48.72 | +454% |
| gpt-oss-20b tok/s | 355.56 | 91.78 | +287% |
| Hermes-3-Llama-3.2-3B tok/s | 446.78 | 106.14 | +321% |
| Hermes-4-70B tok/s | 48.1 | 0 | n/a |
| SmolLM3-3B tok/s | 420.3 | 110.77 | +279% |
| Qwen3-Coder-Next-abliterated tok/s | 199.12 | 0 | n/a |
| KAT-Coder-V2.5-Dev tok/s | 239.66 | 79.01 | +203% |
| L3-8B-Stheno-v3.2 tok/s | 293 | 50.07 | +485% |
| Laguna-XS-2.1 tok/s | 0 | 0 | n/a |
| LFM2.5-1.2B tok/s | 955.13 | 278.53 | +243% |
| LFM2.5-8B-A1B tok/s | 596.16 | 170.2 | +250% |
| Llama-2-7B tok/s | 315.9 | 56.06 | +464% |
| Llama-3.2-3B-Instruct-uncensored tok/s | 448.94 | 101.16 | +344% |
| Llama-3.3-70B-Instruct-abliterated tok/s | 48.1 | 0 | n/a |
| Meta-Llama-3.1-70B tok/s | 48.12 | 0 | n/a |
| Meta-Llama-3.1-8B tok/s | 293 | 50.36 | +482% |
| Phi-4-mini tok/s | 409.58 | 87.21 | +370% |
| Mistral-7B-Instruct-v0.1 tok/s | 306.44 | 53.6 | +472% |
| Mistral-7B-Instruct-v0.2 tok/s | 306.79 | 53.31 | +475% |
| Mistral-7B-Instruct-v0.3 tok/s | 306.46 | 53.66 | +471% |
| Mistral-Nemo-Instruct-2407 tok/s | 196.92 | 33.01 | +497% |
| Mistral Small 24B (Q3_K_M) tok/s | 108.37 | 16.62 | +552% |
| Nanbeige4.2-3B tok/s | 0 | 0 | n/a |
| NemoMix-Unleashed-12B tok/s | 197.06 | 33.02 | +497% |
| Nemotron-3-Nano-30B-A3B tok/s | 345.31 | 0 | n/a |
| Hermes-4-14B tok/s | 169.51 | 27.48 | +517% |
| Ornith-1.0-35B tok/s | 232.36 | 70.31 | +230% |
| Ornith-1.0-9B tok/s | 240.67 | 43.35 | +455% |
| phi-2 tok/s | 356.65 | 114.99 | +210% |
| Phi-3.5-mini tok/s | 352.25 | 90.56 | +289% |
| Phi-4 14B (Q3_K_M) tok/s | 165.06 | 27.86 | +492% |
| Qwen-AgentWorld-35B-A3B tok/s | 233.04 | 70.23 | +232% |
| Qwen3-0.6B tok/s | 742.64 | 356.93 | +108% |
| Qwen3-1.7B tok/s | 575.97 | 176.08 | +227% |
| Qwen3-14B tok/s | 169.52 | 27.48 | +517% |
| Qwen3-30B-A3B tok/s | 291.82 | 95.02 | +207% |
| Qwen3-4B-Instruct-2507 tok/s | 339.78 | 83.03 | +309% |
| Qwen3-8B tok/s | 270.35 | 48.34 | +459% |
| Qwen3-Coder-Next tok/s | 196.34 | 0 | n/a |
| Qwen3-Next-80B-A3B-Thinking tok/s | 194.98 | 0 | n/a |
| Qwen1.5-0.5B tok/s | 894.84 | 431.41 | +107% |
| Qwen2-1.5B tok/s | 583.79 | 189.18 | +209% |
| Qwen2.5-0.5B tok/s | 843.4 | 399.4 | +111% |
| Qwen2.5-1.5B tok/s | 584.96 | 191.39 | +206% |
| Uncensored tok/s | 159.48 | 27.29 | +484% |
| Qwen2.5-14B tok/s | 159.33 | 27.37 | +482% |
| Qwen2.5-32B tok/s | 83.41 | 12.24 | +581% |
| Qwen2.5-3B tok/s | 409.56 | 110.84 | +270% |
| Qwen2.5-72B tok/s | 48.28 | 0 | n/a |
| Qwen2.5-7B tok/s | 293.63 | 53.32 | +451% |
| Qwen2.5-Coder-0.5B tok/s | 843.44 | 397.1 | +112% |
| Qwen2.5-Coder-1.5B tok/s | 584.5 | 184.6 | +217% |
| Qwen2.5-Coder-14B-Instruct-abliterated tok/s | 159.5 | 27.29 | +484% |
| Qwen2.5-Coder 32B (Q3_K_M) tok/s | 74.28 | 12.05 | +516% |
| Qwen2.5-Coder-3B tok/s | 410.06 | 109.42 | +275% |
| Qwen2.5-Coder-7B-Instruct-abliterated tok/s | 292.21 | 53.02 | +451% |
| Qwen3 30B A3B (Q3_K_M) tok/s | 268.71 | 94.03 | +186% |
| Qwen3-4B-Instruct-2507 tok/s | 339.72 | 83.13 | +309% |
| Qwen3-4B-Thinking-2507 tok/s | 339.74 | 83.12 | +309% |
| Qwen3-Coder-Next tok/s | 199.39 | 0 | n/a |
| Qwen3-Next-80B-A3B-Thinking tok/s | 200.55 | 0 | n/a |
| Qwen3-Next-80B-A3B tok/s | 191.32 | 0 | n/a |
| SmolLM2-135M tok/s | 855.87 | 652.15 | +31% |
| Cydonia-24B-v4.3 tok/s | 121.9 | 17.3 | +605% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA B300 is faster on 6 of 6; NVIDIA L4 on 0.
| Workflow | NVIDIA B300 | NVIDIA L4 | Difference | Cost per run |
|---|---|---|---|---|
| 50-image depth pass | 5 s | 17 s | NVIDIA B300 3.65x faster | $0.009 vs $0.002 |
| 500-image masking run | 78 s | 7.5 min | NVIDIA B300 5.76x faster | $0.150 vs $0.055 |
| 24-frame storyboard | 1.5 min | 12.2 min | NVIDIA B300 8.14x faster | $0.174 vs $0.089 |
| 200-product catalogue cutout | 3.7 min | 12.1 min | NVIDIA B300 3.25x faster | $0.430 vs $0.089 |
| 10 short social clips | 4.7 min | 60.3 min | NVIDIA B300 12.72x faster | $0.548 vs $0.442 |
| Full codebase review | 6.3 min | 36.4 min | NVIDIA B300 5.77x faster | $0.730 vs $0.267 |
Renting by the hour, NVIDIA L4 finishes 6 of 6 cheaper. The quicker card is not automatically the cheaper way to get the work done.
Cost to rent
| Card | Per hour |
|---|---|
| NVIDIA B300 | $6.940 |
| NVIDIA L4 | $0.440 |
NVIDIA L4 is 15.77x cheaper per hour. Cheapest on-demand rate we see across RunPod and Vast.
Specifications compared
| NVIDIA B300 | NVIDIA L4 | |
|---|---|---|
| VRAM | 288GB | 24GB |
| Architecture | Blackwell Ultra | Ada Lovelace |
| Memory bandwidth | 8 TB/s | 300 GB/s |
| Boost clock | n/a | 2,040 MHz |
| TDP | 1400 W | 72 W |
| Launch MSRP | $40,000 | $2,500 |
| Release | 2025-11-01 | 2023-03-21 |
FAQ
- Which is better for ai & machine learning: NVIDIA B300 or NVIDIA L4?
- NVIDIA B300 performs better for ai & machine learning, winning 139 of 141 benchmarks in our suite with an average 410.3% advantage.
- What are the main hardware differences between NVIDIA B300 and NVIDIA L4?
- NVIDIA B300 has 288GB VRAM and a 1400W TDP, while NVIDIA L4 has 24GB VRAM and a 72W TDP.
- Does VRAM matter more than speed between NVIDIA B300 and NVIDIA L4?
- For AI, yes, NVIDIA B300 fits 22 more of our 12 workloads than NVIDIA L4. 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 B300 and NVIDIA L4?
- Wan 2.2 5B (720p): NVIDIA B300 leads by roughly 279% (2.94 vs 0.15 frames/s) in our testing.
NVIDIA B300 full review · NVIDIA L4 full review · All AI & Machine Learning rankings