Local LLM Performance Benchmarks: August 2026 Update

hmm the llama 3.3 70b numbers are interesting but i want to see how they hold up on multi-turn reasoning, not just single-shot benchmarks. those can be pretty misleading.

adding some context here since i have experience with this - gpu prices are still painful but its getting better. hope that helps anyone on the fence

not sure benchmark scores tell the whole story. throughput on a shared machine vs dedicated inference hardware is such a different experience. what specs are these numbers based on?

so i work in e-commerce and we're seeing i run everything through lm studio now, way simpler than command line. its honestly kind of wild how fast things are moving