DeepSeek
A family of open-weight models known for strong reasoning and coding at a low cost to run.
Learn the idea Open-source vs. closed AI models: what is actually open on Horizon
DeepSeek's open-weight models drew attention for delivering frontier-level reasoning and coding performance far more efficiently than expected. The weights are open, and a first-party API exists for teams that prefer hosted.
The efficiency is the headline: strong results without frontier-scale compute changes the build-versus-buy maths for self-hosting.
Where it fits
A compelling pick when you want strong reasoning or coding from a self-hosted model without a large compute budget.
Where it does not fit
Provenance and governance review matter here: confirm where weights or the hosted API run against your own policy.
Alternatives to DeepSeek
The closest options on the map, and where each fits instead.
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Qwen Open-weight model family
A strong fit when you need to size a self-hosted model to specific hardware, or when multilingual coverage matters.
Unlike DeepSeek Maturity: established
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Llama Open-weight model family
The default open-weight choice when models must run inside your own environment and you want the widest tooling support.
Unlike DeepSeek No hosted APIMaturity: mature
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Command R Open-weight model family
A fit when a self-hosted model needs to be good specifically at RAG with citations and tool use.
Unlike DeepSeek No hosted APIMaturity: established
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Gemma Open-weight model family
A fit for self-hosted use cases that need a small, efficient model with the polish of a major lab.
Unlike DeepSeek No hosted APIMaturity: established
Pairs with
Commonly used alongside it.
