AI Model License Checker

Before you ship a product on an open model, one question decides everything: can you actually use it commercially? Pick a model to see its license, whether commercial use is allowed, the exact catch, and a link straight to the official license. Covers the models people ship most — Llama, Qwen, DeepSeek, Mistral, Phi, Gemma, FLUX and Stable Diffusion.

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Show All models ✓ Commercial OK ⚠ Conditions apply ✗ Non-commercial
Model License Commercial? The catch Official
Not legal advice. This is a plain-English summary of publicly published model licenses, verified against each official source on 6 July 2026. Licenses change between versions and carry nuances that can turn on your specific use. Always open the linked official license and consult a qualified lawyer before relying on any model commercially. No attorney-client relationship is created here.

Every model marked ✓ or ⚠ here runs locally on ABUZ8 OS.

The commercially-usable open models on this page — Qwen, DeepSeek, Mistral, Phi, Llama, FLUX schnell, SDXL and more — all run on hardware you own inside ABUZ8 OS: $0 per token, no per-seat SaaS, and your prompts never leave the machine. Sovereign by default, cloud only when it genuinely wins.

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How to read an AI model license

Related: LLM API price comparison · Self-host vs cloud calculator · VRAM calculator · Dependency auditor

Apache-2.0 and MIT are the green light

These two permissive licenses let you use, modify, redistribute and commercialize the weights with essentially one obligation: keep the copyright and license notice. No revenue caps, no user-count triggers, no downstream terms to enforce. Qwen3, DeepSeek, Phi-4, Whisper, the open Mistral 3 models and FLUX.1 schnell all sit here — the safest models to build a business on.

"Community" and custom licenses are commercial-with-strings

Llama's Community License and Google's Gemma Terms allow commercial use but are not open-source in the OSI sense. They add obligations — Llama's 700M-monthly-active-user ceiling, its "Built with Llama" attribution and naming rule; Gemma's Prohibited Use Policy that you must pass to your own users, plus the maker's right to change terms. You can absolutely ship on them; you just have to honor the conditions and track version changes.

Revenue-gated and non-commercial licenses are the traps

Some licenses are free only under a revenue line — Stable Diffusion 3.5's Community License is free below $1M annual revenue and requires a paid enterprise license above it. Others are outright non-commercial: FLUX.1 dev looks and behaves like its Apache-licensed sibling schnell, but shipping a product on dev without a paid Black Forest Labs license is a real violation. When two variants share a name, check which one your weights actually are.

Derivatives usually inherit the license

Fine-tuning or distilling does not reset the terms. A model fine-tuned on Gemma stays under the Gemma Terms; a DeepSeek-R1 distill built on a Llama or Qwen base carries that base model's license, not pure MIT. Before you commercialize a fine-tune, trace it back to the base weights and apply the strictest license in the chain.

The sovereign angle: you still have to honor the license — but nobody sees your data

Running a model locally on ABUZ8 OS does not change its license — a non-commercial model is still non-commercial on your own GPU. What local execution changes is cost and privacy: for every commercially-usable open model, you pay $0 per token and your inputs never leave the machine. Pick a green-light model here, run it sovereign, and the only bill is the hardware you already own.