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    AllenAI: Molmo2 8B (free)Free variant

    allenai/molmo-2-8b:free

    Created Jan 9, 202636,864 context
    $0/M input tokens$0/M output tokens

    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.

    Providers for Molmo2 8B (free)

    OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

    Performance for Molmo2 8B (free)

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    Recent activity on Molmo2 8B (free)

    Total usage per day on OpenRouter

    Prompt
    4.56M
    Completion
    1.29M

    Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

    Uptime stats for Molmo2 8B (free)

    Uptime stats for Molmo2 8B (free) across all providers

    Sample code and API for Molmo2 8B (free)

    OpenRouter normalizes requests and responses across providers for you.

    OpenRouter provides an OpenAI-compatible completion API to 400+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

    In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

    Using third-party SDKs

    For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

    See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.