openbmb·released 2026-05-211 source
Not yet benchmarked
Claims drawn from cited facts, not live model generation.
Developed by OpenBMB and released in 2026, this model is a compact 1.08-billion-parameter system. That modest size favors efficiency and lower deployment cost, though it offers less raw headroom than larger models.
3 cited facts
This model is not yet benchmarked on any tracked evaluation. It therefore holds no current top score.
2 cited facts
The model does not hold the top score on any benchmark, so it has no category leadership yet. The average SOTA gap is unavailable, so no frontier-competitiveness band can be assigned from that metric.
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
MiniCPM5-1B is an AI model developed by openbmb, released 2026-05-21. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.