Sevren's Embla 1 reasoning model targets fully offline phone use

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Copenhagen startup Sevren has released Embla 1, a 10-billion-parameter mixture-of-experts reasoning model that runs entirely on a phone without network calls. Sevren published its architecture, training recipe, and benchmark results measured on an iPhone 18 Pro, including cases where the model underperforms. Embla 1 averaged 57.4 across five benchmarks and produced answers in about 888 tokens on average, far fewer than several rival reasoning models tested. Several competing models scored higher on accuracy but ran several times slower, and Embla 1 trails on MATH-500. All figures are self-reported on a single device and have not yet been independently verified.

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