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Molmo2 8B
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.
1/9/2026
36,864 tokens
Specifications
Modalities
Input
text
image
video
Output
text
Supported Parameters
frequency_penalty
logit_bias
max_tokens
presence_penalty
repetition_penalty
seed
stop
temperature
top_k
top_p
Max Output Tokens
36,864Data policy
- Prompt retention
- Unknown — we could not confirm
- Training
- Unknown — not declared
"Unknown" does not mean "safe". It means we could not confirm it.
Whether a provider trains on prompts is a declared value from our terms with them. Retention is determined from the upstream listing for every host this model can reach. Neither is guessed.
Frequently asked questions
- Is Molmo2 8B available on FastMetal?
- Not at the moment. GLM 5.3 Flash, from the same lab, is available on the FastMetal API today.
- What is the context window of Molmo2 8B?
- 36,864 tokens, shared between the prompt and the response.