---
type: "post"
id: "olmoearth-v1-3-state-of-the-art-embeddings-30cce8"
slug: "olmoearth-v1-3-state-of-the-art-embeddings-30cce8"
title: "OlmoEarth v1.3: State-of-the-art embeddings for the whole planet"
description: "AI2 has released OlmoEarth v1.3, an open satellite-embedding model, alongside precomputed annual embeddings and the browser-based OlmoEarth Embeddings Explorer."
retrieval_nugget: "AI2 has released OlmoEarth v1.3, an open satellite-embedding model, alongside precomputed annual embeddings and the browser-based OlmoEarth Embeddings Explorer."
published_at: "2026-10-22"
updated_at: "2026-10-22"
record_date: "2026-10-22"
date_kind: "published_at"
topics: ["open-models","models","retrieval"]
entities: ["AI2","OlmoEarth v1.3","OlmoEarth Embeddings Explorer","OlmoEarth Studio","AlphaEarth Foundations","Tessera v2","PLANTEUR","Sentinel-2"]
related_patterns: ["scientific-agents-need-artifact-evidence"]
novelty_label: "same_event"
what_changed: "Same event as OlmoEarth v1.3: State-of-the-art embeddings for the whole planet"
prior_refs: ["memory:89dd3976-ef69-86c2-a050-1a0462c79d52","memory:a9ce2484-7bcf-8505-aec2-89e02d22be1a"]
source_url: "https://huggingface.co/blog/allenai/olmoearth-v1-3"
source_urls: ["https://huggingface.co/blog/allenai/olmoearth-v1-3"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "post:olmoearth-v1-3-state-of-the-art-embeddings-30cce8"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/posts/olmoearth-v1-3-state-of-the-art-embeddings-30cce8/","markdown":"https://newruntime.com/posts/olmoearth-v1-3-state-of-the-art-embeddings-30cce8.md","json":"https://newruntime.com/posts/olmoearth-v1-3-state-of-the-art-embeddings-30cce8.json"}
---

# OlmoEarth v1.3: State-of-the-art embeddings for the whole planet

## Retrieval answer

AI2 has released OlmoEarth v1.3, an open satellite-embedding model, alongside precomputed annual embeddings and the browser-based OlmoEarth Embeddings Explorer.

AI2 has released OlmoEarth v1.3, an open satellite-embedding model, alongside precomputed annual embeddings and the browser-based OlmoEarth Embeddings Explorer. The release is available under the OlmoEarth Artifact License with model weights, pretraining data, and code.

The model produces a 128-dimensional vector for every 10-meter pixel from yearly Sentinel-1 radar plus Sentinel-2 and Landsat multispectral time series; its first 64 dimensions can also be used separately. AI2 says the 128-dimensional version ranked highest on 20 of 27 evaluations against AlphaEarth Foundations and Tessera v2, while the 64-dimensional version led 18. It estimates the final pretraining run at roughly $2,720 of rented H100 time.

The Explorer requires no account and can compare years, find visually similar locations, train a small classifier from labeled points, and export GeoTIFFs. Global coverage is available for 2023, 2024, and 2025; 2017 through 2022 cover selected countries. AI2 says the archive is about 150 TB per year and includes source-scene provenance per tile. The source does not establish independent benchmark replication or accuracy for a particular mapping application or region.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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