Profiles

One profile per option reviewed: what it does, the evidence it publishes, how it is priced and when to choose something else.

1. OpenLazarus
Data, training and routing layer
Best for: Companies that want an open-weight model of their own, trained on their own data and run behind a router they control.
2. GLM (Z.ai)
Open-weight model family
Best for: AI coding at scale: the family Revolut moved about 2,000 engineers onto.
3. DeepSeek
Open-weight model family
Best for: Coding and agent work under the most permissive licence among the frontier-sized families.
4. Qwen (Alibaba)
Open-weight model family
Best for: The widest range of sizes, from a 27-billion-parameter Apache model to a 2.4-trillion-parameter flagship.
5. Mistral AI
Open-weight model family
Best for: European companies that want a European developer and Apache-licensed models they can fine-tune.
6. Gemma 4 (Google)
Open-weight model family
Best for: Small and on-device models under Apache 2.0, from phones to a single GPU.
7. gpt-oss (OpenAI)
Open-weight model family
Best for: A capable reasoning model that fits on one 80 GB GPU, under Apache 2.0.
8. OLMo (Ai2)
Fully open model family
Best for: Companies that need a fully open model: data, training code and weights all published.
9. Muse and Llama (Meta)
Open-weight model family
Best for: Multimodal work across text, images, video and audio from one open-weight model.