Molmo2 8B

allenai

Molmo2-8B is an open vision-language model developed by the Allen Institute for AI (Ai2) as part of the Molmo2 family, supporting image, video, and multi-image understanding and grounding. It is based on Qwen3-8B and uses SigLIP 2 as its vision backbone, outperforming other open-weight, open-data models on short videos, counting, and captioning, while remaining competitive on long-video tasks.

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Capabilities

Image Input

Example Use Cases

Image or video understanding

Visual grounding and captioning

Multi-image analysis

Technical Specifications

Context Window

36,864 tokens

Max Output

36,864 tokens

Cache Miss Cost

$0.20 per 1M tokens

Non-Reasoning Cost

$0.20 per 1M tokens

Web Search Cost

$15 per 1K calls

Code Execution Cost

$0.19 per 1K calls

⚠️ Legacy

Made legacy on

Reason

Untested

Recommended Replacement

Qwen3.5 Plus