What does 'open-weights' mean and why does it matter?

Open-weights models are AI systems whose code and trained parameters are publicly shared, allowing anyone to download and run them. This contrasts with proprietary models, making advanced AI more accessible to researchers and companies with limited budgets.

How large is the DeepSeek-R1 model?

DeepSeek-R1 uses 671 billion parameters and operates at 8.7× smaller scale compared with DeepSeek-V3.2's 83.9 GiB.

Where can I access DeepSeek-R1?

The model is available for download and via API access.

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DeepSeek's R1 reasoning model ranks #2 in open-weights category

DIGITIMES Asia2d ago3 min read

Key takeaway

DeepSeek has released R1, an open-weights reasoning model ranked #2 among open-source AI reasoning systems. Operating at 8.7× smaller scale compared with DeepSeek-V3.2's 83.9 GiB, the model delivers competitive performance and is available for download and API use, making advanced reasoning AI more accessible to organizations that prefer not to rely on closed commercial platforms.

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3 Key Points

What happened
DeepSeek released R1, an open-weights reasoning model that has achieved #2 ranking among open-weights reasoning models. The model uses 671 billion parameters and operates at 8.7× smaller scale compared with DeepSeek-V3.2's 83.9 GiB while delivering competitive reasoning performance.
Why it matters
Open-weights models (AI systems whose code and weights are publicly shared) lower barriers to entry for companies and researchers who cannot afford proprietary alternatives. A highly capable open model at this scale may allow more organizations to run advanced reasoning AI locally, reducing dependence on closed commercial systems.
What to watch
DeepSeek-R1 is now available for download and API access. The model's efficiency—achieving strong reasoning results at reduced scale—sets a new benchmark for what open-weights developers can accomplish, potentially shifting how businesses evaluate their AI infrastructure choices.

FAQ

What does 'open-weights' mean and why does it matter?: Open-weights models are AI systems whose code and trained parameters are publicly shared, allowing anyone to download and run them. This contrasts with proprietary models, making advanced AI more accessible to researchers and companies with limited budgets.
How large is the DeepSeek-R1 model?: DeepSeek-R1 uses 671 billion parameters and operates at 8.7× smaller scale compared with DeepSeek-V3.2's 83.9 GiB.
Where can I access DeepSeek-R1?: The model is available for download and via API access.

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