Particle launches Particle-1, a software-engineering model built for token efficiency

Particle describes Particle-1 as a software-engineering model post-trained on DeepSeek V4.1 Flash. It reports roughly 45% fewer tokens on average than DeepSeek V4.1 Flash across varied tasks. Across four benchmarks, the company reports 28.4%–52.2% fewer output tokens and 34.4%–51.6% lower average cost per task than the base model, with pass rates within its confidence intervals. Particle says the model is available through its API and plans to expand beyond software engineering.