Quick Answer: NVIDIA L40S offers 48GB VRAM and starts around current market pricing. It delivers approximately 219 tokens/sec on TinyLlama/TinyLlama-1.1B-Chat-v1.0. It typically draws 350W under load.
This GPU offers reliable throughput for local AI workloads. Pair it with the right model quantization to hit your desired tokens/sec, and monitor prices below to catch the best deal.
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| Model | Quantization | Tokens/sec | VRAM used |
|---|---|---|---|
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | Q4 | 218.56 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-3B-Instruct | Q4 | 216.17 tok/sEstimated Auto-generated benchmark | 2GB |
| facebook/sam3 | Q4 | 214.76 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-1B-Instruct | Q4 | 213.98 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-3B | Q4 | 212.98 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen2.5-3B-Instruct | Q4 | 212.63 tok/sEstimated Auto-generated benchmark | 2GB |
| meta-llama/Llama-Guard-3-1B | Q4 | 212.24 tok/sEstimated Auto-generated benchmark | 1GB |
| ibm-research/PowerMoE-3b | Q4 | 208.41 tok/sEstimated Auto-generated benchmark | 2GB |
| unsloth/Llama-3.2-3B-Instruct | Q4 | 207.14 tok/sEstimated Auto-generated benchmark | 2GB |
| deepseek-ai/DeepSeek-OCR | Q4 | 205.69 tok/sEstimated Auto-generated benchmark | 2GB |
| google/gemma-2b | Q4 | 204.82 tok/sEstimated Auto-generated benchmark | 1GB |
| allenai/OLMo-2-0425-1B | Q4 | 201.08 tok/sEstimated Auto-generated benchmark | 1GB |
| unsloth/Llama-3.2-1B-Instruct | Q4 | 201.07 tok/sEstimated Auto-generated benchmark | 1GB |
| unsloth/gemma-3-1b-it | Q4 | 198.84 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-1B | Q4 | 196.01 tok/sEstimated Auto-generated benchmark | 1GB |
| google-t5/t5-3b | Q4 | 195.92 tok/sEstimated Auto-generated benchmark | 2GB |
| apple/OpenELM-1_1B-Instruct | Q4 | 192.19 tok/sEstimated Auto-generated benchmark | 1GB |
| deepseek-ai/deepseek-coder-1.3b-instruct | Q4 | 192.04 tok/sEstimated Auto-generated benchmark | 2GB |
| context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16 | Q4 | 191.60 tok/sEstimated Auto-generated benchmark | 2GB |
| bigcode/starcoder2-3b | Q4 | 191.57 tok/sEstimated Auto-generated benchmark | 2GB |
| tencent/HunyuanOCR | Q4 | 190.87 tok/sEstimated Auto-generated benchmark | 1GB |
| inference-net/Schematron-3B | Q4 | 190.05 tok/sEstimated Auto-generated benchmark | 2GB |
| google/gemma-2-2b-it | Q4 | 188.75 tok/sEstimated Auto-generated benchmark | 1GB |
| ibm-granite/granite-3.3-2b-instruct | Q4 | 188.53 tok/sEstimated Auto-generated benchmark | 1GB |
| WeiboAI/VibeThinker-1.5B | Q4 | 188.53 tok/sEstimated Auto-generated benchmark | 1GB |
| google/gemma-3-1b-it | Q4 | 186.99 tok/sEstimated Auto-generated benchmark | 1GB |
| Qwen/Qwen2.5-3B | Q4 | 184.73 tok/sEstimated Auto-generated benchmark | 2GB |
| LiquidAI/LFM2-1.2B | Q4 | 184.61 tok/sEstimated Auto-generated benchmark | 1GB |
| google/embeddinggemma-300m | Q4 | 182.73 tok/sEstimated Auto-generated benchmark | 1GB |
| microsoft/DialoGPT-medium | Q4 | 181.66 tok/sEstimated Auto-generated benchmark | 4GB |
| google-bert/bert-base-uncased | Q4 | 181.62 tok/sEstimated Auto-generated benchmark | 1GB |
| microsoft/Phi-3.5-vision-instruct | Q4 | 181.61 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2.5-1.5B | Q4 | 181.13 tok/sEstimated Auto-generated benchmark | 3GB |
| nari-labs/Dia2-2B | Q4 | 180.95 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen2.5-7B-Instruct | Q4 | 180.89 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/Phi-4-multimodal-instruct | Q4 | 180.36 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/DeepSeek-V3.1 | Q4 | 179.36 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2.5-Math-1.5B | Q4 | 179.36 tok/sEstimated Auto-generated benchmark | 3GB |
| microsoft/Phi-4-mini-instruct | Q4 | 179.32 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2.5-Coder-7B-Instruct | Q4 | 179.27 tok/sEstimated Auto-generated benchmark | 4GB |
| unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit | Q4 | 179.17 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2.5-7B-Instruct | Q4 | 178.99 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/DeepSeek-V3-0324 | Q4 | 178.86 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/Phi-3-mini-128k-instruct | Q4 | 178.51 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-Embedding-8B | Q4 | 178.39 tok/sEstimated Auto-generated benchmark | 4GB |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-6bit | Q4 | 178.26 tok/sEstimated Auto-generated benchmark | 2GB |
| zai-org/GLM-4.6-FP8 | Q4 | 178.12 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B | Q4 | 176.87 tok/sEstimated Auto-generated benchmark | 3GB |
| MiniMaxAI/MiniMax-M2 | Q4 | 176.50 tok/sEstimated Auto-generated benchmark | 4GB |
| facebook/opt-125m | Q4 | 176.38 tok/sEstimated Auto-generated benchmark | 4GB |
Note: Performance estimates are calculated. Real results may vary. Methodology · Submit real data
| Model | Quantization | Verdict | Estimated speed | VRAM needed |
|---|---|---|---|---|
| meta-llama/Llama-3.2-1B | FP16 | Fits comfortably | 77.89 tok/sEstimated | 2GB (have 48GB) |
| meta-llama/Meta-Llama-3-8B | Q4 | Fits comfortably | 157.47 tok/sEstimated | 4GB (have 48GB) |
| Qwen/Qwen2.5-7B | Q4 | Fits comfortably | 156.32 tok/sEstimated | 4GB (have 48GB) |
| deepseek-ai/DeepSeek-R1-Distill-Llama-8B | Q8 | Fits comfortably | 107.53 tok/sEstimated | 9GB (have 48GB) |
| deepseek-ai/deepseek-coder-1.3b-instruct | FP16 | Fits comfortably | 73.39 tok/sEstimated | 6GB (have 48GB) |
| meta-llama/Llama-3.1-8B | Q8 | Fits comfortably | 109.12 tok/sEstimated | 9GB (have 48GB) |
| Qwen/Qwen3-14B-Base | FP16 | Fits comfortably | 45.87 tok/sEstimated | 29GB (have 48GB) |
| unsloth/Llama-3.2-3B-Instruct | Q8 | Fits comfortably | 138.58 tok/sEstimated | 3GB (have 48GB) |
| RedHatAI/Meta-Llama-3.1-70B-Instruct-quantized.w4a16 | Q8 | Not supported | 42.77 tok/sEstimated | 68GB (have 48GB) |
| OpenPipe/Qwen3-14B-Instruct | Q4 | Fits comfortably | 112.22 tok/sEstimated | 7GB (have 48GB) |
| RedHatAI/Llama-3.2-90B-Vision-Instruct-FP8-dynamic | Q4 | Fits comfortably | 33.29 tok/sEstimated | 44GB (have 48GB) |
| RedHatAI/Llama-3.2-90B-Vision-Instruct-FP8-dynamic | Q8 | Not supported | 24.45 tok/sEstimated | 88GB (have 48GB) |
| GSAI-ML/LLaDA-8B-Instruct | Q8 | Fits comfortably | 121.08 tok/sEstimated | 9GB (have 48GB) |
| GSAI-ML/LLaDA-8B-Instruct | FP16 | Fits comfortably | 57.44 tok/sEstimated | 17GB (have 48GB) |
| lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-4bit | Q8 | Fits comfortably | 109.34 tok/sEstimated | 9GB (have 48GB) |
| lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-4bit | FP16 | Fits comfortably | 57.86 tok/sEstimated | 17GB (have 48GB) |
| Qwen/Qwen3-30B-A3B-Instruct-2507-FP8 | Q4 | Fits comfortably | 91.36 tok/sEstimated | 15GB (have 48GB) |
| Qwen/Qwen3-30B-A3B-Instruct-2507-FP8 | Q8 | Fits comfortably | 60.56 tok/sEstimated | 31GB (have 48GB) |
| Qwen/Qwen3-30B-A3B-Instruct-2507-FP8 | FP16 | Not supported | 34.68 tok/sEstimated | 61GB (have 48GB) |
| Qwen/Qwen3-4B-Thinking-2507 | Q4 | Fits comfortably | 162.29 tok/sEstimated | 2GB (have 48GB) |
| Qwen/Qwen3-4B-Thinking-2507 | Q8 | Fits comfortably | 107.61 tok/sEstimated | 4GB (have 48GB) |
| Qwen/Qwen3-4B-Thinking-2507 | FP16 | Fits comfortably | 64.09 tok/sEstimated | 9GB (have 48GB) |
| HuggingFaceH4/zephyr-7b-beta | Q4 | Fits comfortably | 154.86 tok/sEstimated | 4GB (have 48GB) |
| HuggingFaceH4/zephyr-7b-beta | Q8 | Fits comfortably | 118.63 tok/sEstimated | 7GB (have 48GB) |
| HuggingFaceH4/zephyr-7b-beta | FP16 | Fits comfortably | 59.44 tok/sEstimated | 15GB (have 48GB) |
| llamafactory/tiny-random-Llama-3 | Q4 | Fits comfortably | 155.37 tok/sEstimated | 4GB (have 48GB) |
| microsoft/Phi-4-mini-instruct | Q8 | Fits comfortably | 122.88 tok/sEstimated | 7GB (have 48GB) |
| EleutherAI/pythia-70m-deduped | Q4 | Fits comfortably | 170.34 tok/sEstimated | 4GB (have 48GB) |
| EleutherAI/pythia-70m-deduped | Q8 | Fits comfortably | 123.87 tok/sEstimated | 7GB (have 48GB) |
| EleutherAI/pythia-70m-deduped | FP16 | Fits comfortably | 61.03 tok/sEstimated | 15GB (have 48GB) |
| parler-tts/parler-tts-large-v1 | Q4 | Fits comfortably | 151.80 tok/sEstimated | 4GB (have 48GB) |
| ibm-granite/granite-docling-258M | Q4 | Fits comfortably | 169.73 tok/sEstimated | 4GB (have 48GB) |
| Qwen/Qwen3-Next-80B-A3B-Thinking-FP8 | Q4 | Fits comfortably | 30.27 tok/sEstimated | 39GB (have 48GB) |
| unsloth/gemma-3-1b-it | Q8 | Fits comfortably | 138.76 tok/sEstimated | 1GB (have 48GB) |
| unsloth/gemma-3-1b-it | FP16 | Fits comfortably | 80.62 tok/sEstimated | 2GB (have 48GB) |
| Qwen/Qwen3-Next-80B-A3B-Thinking | Q4 | Fits comfortably | 30.16 tok/sEstimated | 39GB (have 48GB) |
| Qwen/Qwen3-Next-80B-A3B-Thinking | Q8 | Not supported | 25.35 tok/sEstimated | 78GB (have 48GB) |
| Qwen/Qwen3-Next-80B-A3B-Thinking | FP16 | Not supported | 12.79 tok/sEstimated | 156GB (have 48GB) |
| Qwen/Qwen2.5-3B | FP16 | Fits comfortably | 77.09 tok/sEstimated | 6GB (have 48GB) |
| nvidia/NVIDIA-Nemotron-Nano-9B-v2 | Q4 | Fits comfortably | 135.69 tok/sEstimated | 5GB (have 48GB) |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-4bit | Q4 | Fits comfortably | 92.36 tok/sEstimated | 15GB (have 48GB) |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-4bit | Q8 | Fits comfortably | 59.15 tok/sEstimated | 31GB (have 48GB) |
| Qwen/Qwen2-0.5B-Instruct | Q8 | Fits comfortably | 114.48 tok/sEstimated | 5GB (have 48GB) |
| dicta-il/dictalm2.0-instruct | Q8 | Fits comfortably | 117.61 tok/sEstimated | 7GB (have 48GB) |
| HuggingFaceM4/tiny-random-LlamaForCausalLM | Q4 | Fits comfortably | 156.53 tok/sEstimated | 4GB (have 48GB) |
| HuggingFaceM4/tiny-random-LlamaForCausalLM | Q8 | Fits comfortably | 123.55 tok/sEstimated | 7GB (have 48GB) |
| HuggingFaceM4/tiny-random-LlamaForCausalLM | FP16 | Fits comfortably | 57.80 tok/sEstimated | 15GB (have 48GB) |
| meta-llama/Llama-3.1-70B-Instruct | Q8 | Not supported | 23.75 tok/sEstimated | 69GB (have 48GB) |
| meta-llama/Llama-3.1-70B-Instruct | FP16 | Not supported | 13.49 tok/sEstimated | 138GB (have 48GB) |
| deepseek-ai/DeepSeek-Coder-V2-Instruct-0724 | Q4 | Not supported | 24.76 tok/sEstimated | 115GB (have 48GB) |
Note: Performance estimates are calculated. Real results may vary. Methodology · Submit real data
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