Molmo 7B-D is the Allen Institute for AI's open-weight vision-language model, notable for its multimodal capability at a 7B parameter scale. The intelligence index of 3.8 and coding index of 1.2 are low, and the absence of agentic benchmark data limits assessment of its tool-use reliability.

For businesses, the primary use case is lightweight visual understanding: image description, document OCR support, or visual question answering in research or prototyping contexts. The gpqa score of 0.24 and mmlu_pro of 0.371 indicate limited general knowledge depth, so it is not suited to complex reasoning or content generation tasks.

No pricing data is available, and the model's 2024 release date means it has been partially superseded by more capable open-weight vision models. Teams exploring open-source multimodal options should benchmark it carefully against more recent alternatives before committing to production use.

Assessed June 19, 2026

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