Recipes · 11 configurations
Machines ready to copy For every budget, a model, the hardware, the engine and the command to run. Memory, speed and price use the same formulas as the rest of the site: estimates, not measurements.
Budget €1,180
Your first local LLM on a budget The cheapest way in to chat, summarise or code with a recent model, with no subscription.
Model Qwen3 8BHardware RTX 3060 12 GBPrecision Q4_K_MEngine OllamaContext 8k
Memory 7 / 12 GB
Estimated speed ~39 tok/s
Power 170 W
Memory use 56 %
ollama run qwen3:8bCopy
Budget €1,650
Best price-to-speed in 24 GB A used RTX 3090 and a MoE model: only 3 billion parameters work on each token, hence very high speed.
Model Qwen3 30B-A3BHardware RTX 3090 24 GB (used)Precision Q4_K_MEngine llama.cppContext 16k
Memory 21 / 24 GB
Estimated speed ~242 tok/s
Power 350 W
Memory use 88 %
llama-server -hf unsloth/Qwen3-30B-A3B-GGUF:Q4_K_M -ngl 99 -c 16384Copy
Budget €2,400
Llama 70B for under €2,500 Two used 3090s share the model’s layers. The classic build of local-AI enthusiasts.
Model Llama 3.3 70BHardware 2 × RTX 3090 24 GB (used)Precision Q4_K_MEngine llama.cppContext 8k
Memory 47 / 48 GB
Estimated speed ~12 tok/s
Power 700 W
Memory use 99 %
llama-server -hf unsloth/Llama-3.3-70B-Instruct-GGUF:Q4_K_M -ngl 99 -c 8192Copy