Molmo2-4B Video QA

Molmo2 Video QA

Molmo2 Video QA is a powerful video understanding model that answers questions about video content. Simply upload a video and ask anything — the model analyzes visual scenes, actions, objects, and context to deliver accurate, natural-language responses.

Built for developers and creators who need intelligent video comprehension without building complex pipelines.

Why Choose This?

• Natural language understanding Ask questions in plain English about what happens in your video — no need for timestamps or frame-by-frame annotation.

• Scene and action recognition Understands objects, people, movements, environments, and temporal sequences across the video.

• Flexible video input Accepts video uploads or public URLs for seamless integration into existing workflows.

• Fast and accurate Optimized for quick turnaround while maintaining high comprehension accuracy.

• Production-ready API Ready-to-use REST endpoint with predictable per-second pricing and no cold starts.

How to Use

1. Upload your video — drag and drop a file or paste a public video URL.
2. Write your question — describe what you want to know about the video content.
3. Submit — the model processes the video and returns a natural-language answer.
4. Iterate — ask follow-up questions or upload new videos as needed.

Pricing

Per-5-second billing with a 5-second minimum.

Billing Rules

• Minimum charge: 5 seconds ($0.005)
• Rate: $0.001 per second ($0.005 per 5 seconds)
• Maximum video length: 120 seconds (2 minutes)

Best Use Cases

• Content moderation — Automatically review video uploads for policy compliance.
• Video search and indexing — Extract semantic information for searchable video libraries.
• Accessibility — Generate descriptions of video content for visually impaired users.
• Education and training — Analyze instructional videos and answer learner questions.
• Surveillance and monitoring — Summarize events or detect specific actions in footage.
• Social media analytics — Understand trends and content themes across video posts.

Notes

• If using a URL, ensure it is publicly accessible. A preview thumbnail in the interface confirms successful access.
• For videos longer than 2 minutes, split into segments and process separately.
• Clear, well-lit footage with minimal background noise yields the best results.
• Be specific in your questions for more precise answers.