MobileLLM-R1-950M-base: benchmark results

Meta MobileLLM-R1 950M Base is the pretrained checkpoint for downstream adaptation, separate from its final reasoning SFT release. The publisher specifies 22 layers, 24 attention heads, 6 key/value heads and shared input/output embeddings. Provider: Meta. Released 2025-09-12. Access: Open.

Aggregate Rating 1251 ± 32, rank #9247 of 10916 rated models, from 143 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
EuroEval English NLU - SQuAD79.53Character F1 (%)49.8
EuroEval Spanish NLU - MLQA ES56.02Character F1 (%)40.1
EuroEval French NLU - FQuAD58.52Character F1 (%)35.9
EuroEval Portuguese NLU - MultiWikiQA PT55.59Character F1 (%)31.6
EuroEval Italian NLU - SQuAD IT48.93Character F1 (%)31.4
EuroEval German NLU - Germanquad42.73Character F1 (%)26.9
EuroEval Finnish NLU - Tydiqa FI44.84Character F1 (%)26.8
EuroEval Dutch NLU - SQuAD NL47.5Character F1 (%)26.5
EuroEval Icelandic Knowledge1.99Knowledge Average Score (%)25.8
EuroEval Faroese NLU - FoQA14.97Character F1 (%)25.5
EuroEval Icelandic NLU - ScaLA IS0.07Matthews correlation coefficient (%)25.1
EuroEval Czech NLU - CSFD Sentiment29.21Matthews correlation coefficient (%)25

Interactive version: theaggregate.ai/model?slug=mobilellm-r1-950m-base · How It Works · Data refreshed daily, snapshot 2026-11-08.