Google DeepMind·released 2025-03-101 source
Not yet benchmarked
Claims drawn from cited facts, not live model generation.
Developed by Google DeepMind and released in 2025, this model is a compact 1.0-billion-parameter system. That compact scale implies efficiency and lower cost, trading away the headroom and expense of larger models.
4 cited facts
This model is not yet benchmarked, with zero tracked benchmarks. It holds no current top score.
2 cited facts
The average SOTA gap is unknown, and the model holds the top score on 0 benchmarks, so it shows no demonstrated category leadership on these benchmarks.
2 cited facts
2 facts cross-checked across data sources: 2 single-source.
Source facts, citations, and refresh stamp for this record.
Sources: huggingface_models
gemma-3-1b-it is an AI model developed by Google DeepMind, released 2025-03-10. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.