Perceptron Mk1 highly performant video analysis model 80% cheaper than big three
Startup Perceptron Inc. launches its flagship video analysis reasoning model Mk1 at $0.15 per million input tokens and $1.50 per million output tokens, 80-90% cheaper than rivals like Anthropic's Claude Sonnet 4.5, OpenAI's GPT-5, and Google's Gemini 3.1 Pro. The model can be used for security, marketing video clipping, error detection, and behavioral analysis.
AI that can see and understand what's happening in a video — especially a live feed — is understandably an attractive product to lots of enterprises and organizations. Beyond acting as a security "watchdog" over sites and facilities, such an AI model could also be used to clip out the most exciting parts of marketing videos and repurpose them for social, identify inconsistencies and gaffs in videos and flag them for removal, and identify body language and actions of participants in controlled studies or candidates applying for new roles.
While there are some AI models that offer this type of functionality today, it's far from a mainstream capability. The two-year-old startup Perceptron Inc. is seeking to change all that, however. Today, it announced the release of its flagship proprietary video analysis reasoning model, Mk1 (short for "Mark One") at a cost — $0.15 per million tokens input / $1.50 per million output through its application programming interface (API) — that comes in about 80-90% less than other leading proprietary rivals, namely, Anthropic's Claude Sonnet 4.5, OpenAI's GPT-5, and Google's Gemini 3.1 Pro.