Model family

Molmo2-ER

Participating organizations

Version scope and roles for these associations await verification.

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Molmo2-ER is Ai2’s embodied-reasoning vision-language model, built from Molmo2 with a Qwen3-4B text backbone and SigLIP2 vision encoder. It supports spatial question answering, pointing, multi-image and video reasoning, and supplies the VLM backbone for MolmoAct2.

Overview

Model type
Vision-language model
Listed versions
Molmo2-ER

Model history

May 2026

Ai2 introduces Molmo2-ER as the MolmoAct2 reasoning backbone

New modelOfficial announcement

The May5 Ai2 post identifies Molmo2-ER, a separately specialized vision-language backbone for spatial questions, pointing and image/video reasoning that feeds MolmoAct2’s action model. It reports a63.8/100 mean across13 embodied reasoning benchmarks. This is an introduction date, not a verified first-public-weight day.

Previously reported

Molmo2 supplies the general vision-language starting point before embodied specialization. This describes a research baseline, not an earlier robot controller.

This announcement

The May5 Ai2 post identifies Molmo2-ER, a separately specialized vision-language backbone for spatial questions, pointing and image/video reasoning that feeds MolmoAct2’s action model. It reports a63.8/100 mean across13 embodied reasoning benchmarks. This is an introduction date, not a verified first-public-weight day.

Ordinary historical component introduction: the same May5 MolmoAct2 launch already has a featured event. Preserve this distinct model role without a duplicate featured launch headline. Admission94 does not determine importance; no separate first code/weight/API opening is dated here.

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Versions

1

Papers & reports (1)

MolmoAct2: Action Reasoning Models for Real-world Deployment

Paper available

arXiv: 2605.02881DOI: 10.48550/arxiv.2605.02881
Authors & affiliations (29)

Author order: Original order

  1. Haoquan FangEqual contribution; core contributor

    Allen Institute for AI · University of Washington

  2. Jiafei DuanEqual contribution; core contributor

    Allen Institute for AI · University of Washington · National University of Singapore

  3. Donovan ClayCore contributor

    Allen Institute for AI · University of Washington

  4. Sam WangCore contributor

    Allen Institute for AI · University of Pennsylvania

  5. Shuo LiuCore contributor

    University of Washington

  6. Weikai HuangCore contributor

    Allen Institute for AI · University of Washington

  7. Xiang FanCore contributor

    Allen Institute for AI · University of Washington

  8. Wei-Chuan TsaiCore contributor

    University of Washington

  9. Shirui ChenCore contributor

    Allen Institute for AI · University of Washington

First published
2026-05-04
Latest paper revision
v2 · 2026-05-08
Venue
Not provided

Covered model versions

Paper ↗PDF ↗

Official resources

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