Open-Weight Model Licenses: What to Check Before You Ship

Open-weight AI models are increasingly used in production as organizations seek lower-cost alternatives to frontier systems, but access to model weights does not automatically grant unrestricted rights to modify, distribute, host, or commercially deploy them. The article explains that while many recent models, including Qwen3, Mistral 3, Gemma 4, gpt-oss, and DeepSeek V4, use permissive MIT or Apache 2.0 licenses, other models retain custom terms involving revenue thresholds, user limits, separate agreements for model-as-a-service providers, security reviews, attribution rules, and prohibited-use policies. It recommends that enterprises evaluate five areas before deployment: commercial-use limits, hosted-inference restrictions, fine-tuning rights, redistribution and notice requirements, and use-case prohibitions. It also notes broader risks involving intellectual-property uncertainty, warranty limitations, data handling, contractual protections, and evolving AI and data-transfer regulations. DeepInfra presents its managed inference platform, GPU infrastructure, data-retention terms, security certifications, and data-processing agreements as enterprise-oriented features, while emphasizing that these services do not eliminate the need for independent legal review of each model license.

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