GPUs & Macs › NVIDIA RTX 3090

NVIDIA RTX 3090: local LLM speed

Llama 2 7B (Q4_0) generates 172 tokens/s on the NVIDIA RTX 3090 (Vulkan), and processes prompts at 5,201 tokens/s.

Measured results

ModelGenerate
tok/s
Prompt
tok/s
QuantBackendTestSource
Llama 2 7B1725,201Q4_0Vulkan FA ontg128llama.cpp #10879 details
Llama 2 7B1644,666Q4_0Vulkan FA offtg128llama.cpp #10879 details
Llama 2 7B1625,560Q4_0CUDA FA ontg128llama.cpp #15013 details
Llama 2 7B1585,175Q4_0CUDA FA offtg128llama.cpp #15013 details
Llama 3.2 1B Instruct27013,482Q4_K_Mllamafile LocalScore avgLocalScore details
gpt-oss 20B1625,171MXFP4CUDA FA ontg128llama.cpp #15396 details
Llama 3.1 8B Instruct96.33,550Q4_K_Mllamafile LocalScore avgLocalScore details
Qwen2.5 14B Instruct56.21,950Q4_K_Mllamafile LocalScore avgLocalScore details

What fits on the NVIDIA RTX 3090

Estimates for this chip are scaled from a measured run: Llama 2 7B Q4_0 at 172 tok/s (Vulkan, source). Fit assumes the whole model in GPU memory with ~8K context.

ModelBest quant that fitsFileExpected tok/s
Qwen3.8-27BUD-Q6_K22.0 GB29.8 estimate
gemma-4-12B-itQ8_012.7 GB51.8 estimate
Qwen3.5-9BQ8_09.5 GB68.9 estimate
Qwen3.5-4BQ8_04.5 GB146 estimate
Qwen3.6-35B-A3BUD-Q4_K_S20.9 GB183 estimate
gemma-4-26B-A4B-itUD-Q5_K_M21.2 GB101 estimate
MiMo-V2.6-Distill-Qwen-9BQ8_09.5 GB68.7 estimate
gemma-4-E4B-itQ8_08.2 GB80.1 estimate
Muse-Glimmer-30BUD-Q5_K_M19.2 GB34.2 estimate
Qwen3-4BQ8_04.3 GB153 estimate
gemma-4-31B-itQ5_K_M21.7 GB30.3 estimate
gemma-4-26B-A4B-it-qat-q4_0-unquantizedUD-Q4_K_XL14.2 GB150 estimate
gemma-4-12B-it-qat-q4_0-unquantizedUD-Q4_K_XL6.7 GB97.7 estimate
gemma-3-1b-itQ8_01.1 GB547 estimate

Open in the picker

Similar hardware

NVIDIA RTX 4090 D · NVIDIA RTX 4090 · NVIDIA RTX 3090 Ti · NVIDIA TITAN RTX · NVIDIA Quadro P6000 · NVIDIA RTX 5090 · NVIDIA RTX 5080 · NVIDIA RTX 5070 Ti