OlmoEarth v1.1: A more efficient family of models
OlmoEarth v1.1 has been released, enhancing efficiency in processing satellite imagery. The new model family reduces compute costs by up to three times while maintaining performance. This advancement supports broader applications in environmental monitoring and conservation efforts.
- ▪OlmoEarth v1.1 cuts compute costs by up to 3x compared to its predecessor.
- ▪The model is designed to process remote sensing data more efficiently by optimizing token sequence lengths.
- ▪Partners have successfully applied OlmoEarth across various tasks, including tracking mangrove changes and producing crop-type maps.
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Back to Articles OlmoEarth v1.1: A more efficient family of models Team Article Published May 19, 2026 Upvote - Kyle Wiggers Ai2Comms Follow allenai Increasing efficiency by decreasing sequence lengths Designing the token For developers For researchers Get started 🧠 Models: https://huggingface.co/collections/allenai/olmoearth | 📄 Tech Report: https://allenai.org/papers/olmoearth_v1_1 | 💻 Code: https://github.com/allenai/olmoearth_pretrain We released OlmoEarth (v1) in November 2025. Since then, partners have applied it across a wide range of tasks, from tracking mangrove change to classifying drivers of forest loss to producing country-scale crop-type maps in days, scaling deployments to national, continental, and global areas.
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