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Ai2United States2026

Molmo 2-ER

An AI model: a vision-language-action model (VLA) takes camera images and an instruction and turns them into movements for a robot. This page describes the software, not a robot.

Robotsnot stated

Key figures as stated by the developer

5 of 6 stated · 1 gap
  • Model type ⁠A embodied reasoning
  • Controls not stated
  • Inputs ⁠A camera language
  • Access ⁠B open download
  • Parameters ⁠A 4,000,000,000
  • Base model ⁠A Molmo2-4B (Qwen3-4B backbone + SigLIP2 vision encoder)
How to read the figures
14kgA30.9lbA
The letter in the grey square after a figure points to the source the figure came from. Robots with several sources carry several letters.
74.5lb
Imperial figures are our own conversion unless the manufacturer states an imperial figure itself. The source letter always belongs to the metric figure — a conversion has no source of its own.
Versions and notes in the key figures (6)

Model type

Developer wording: "Molmo2-ER (Embodied Reasoning) is a 4B vision–language model specialized for the embodied perception skills that downstream action models depend on"; the blog calls it "a specialized embodied-reasoning variant of Molmo 2".

Controls

Note The model answers in text and points, not with robot motion; its skills are "scene understanding, pixel-accurate pointing, multi-image and egocentric–exocentric correspondence, and video temporal reasoning".

Inputs

Model card: the skills are "scene understanding, pixel-accurate pointing, multi-image and egocentric–exocentric correspondence, and video temporal reasoning"; the card's usage example gives an image and a text question.

Access

Paper abstract, which covers the Molmo 2-ER backbone: "We release model weights, training code, and complete training data."

Parameters

Model card: "Molmo2-ER (Embodied Reasoning) is a 4B vision–language model specialized for the embodied perception skills that downstream action models depend on".

Base model

"It is built on top of Molmo2 (Qwen3-4B backbone + SigLIP2 vision encoder)".

Full specifications

6 of 12 fields stated
The letter points to the source at the foot of the page. Fields without a figure are dashed: the developer does not state them — that is not the same as zero, and not the same as no.
Field Value Source and caveats
Input and output
Model typeembodied reasoningA

Developer wording: "Molmo2-ER (Embodied Reasoning) is a 4B vision–language model specialized for the embodied perception skills that downstream action models depend on"; the blog calls it "a specialized embodied-reasoning variant of Molmo 2".

Inputscamera languageA

Model card: the skills are "scene understanding, pixel-accurate pointing, multi-image and egocentric–exocentric correspondence, and video temporal reasoning"; the card's usage example gives an image and a text question.

Controlsnot stated

Note The model answers in text and points, not with robot motion; its skills are "scene understanding, pixel-accurate pointing, multi-image and egocentric–exocentric correspondence, and video temporal reasoning". ⁠A

Degrees of freedom controllednot stated
Size and speed
Parameters4,000,000,000A

Model card: "Molmo2-ER (Embodied Reasoning) is a 4B vision–language model specialized for the embodied perception skills that downstream action models depend on".

Control ratenot stated
Where it runs and what it is built on
Runs wherenot stated
Base modelMolmo2-4B (Qwen3-4B backbone + SigLIP2 vision encoder)A

"It is built on top of Molmo2 (Qwen3-4B backbone + SigLIP2 vision encoder)".

Openness
Accessopen downloadB

Paper abstract, which covers the Molmo 2-ER backbone: "We release model weights, training code, and complete training data."

LicenseApache-2.0A

Model card: "License: apache-2.0".

The developer’s own claims
Learns new tasksnot stated
Works across robotsnot stated

Yes only if the developer itself says the model runs on different robot models, for example robots from two manufacturers or two of one manufacturer’s models. Several units of the same robot do not count.

Notes

  • Ai2 describes Molmo 2-ER as a 4B vision-language model specialised for the embodied perception skills that action models depend on.
  • Molmo 2-ER is the backbone of MolmoAct 2 and is also released on its own.

Sources

One line per source, not per figure: a source has one retrieval date. The letter beside a figure points to the line it came from.