Overview
DeepSeek is a Chinese AI lab known for releasing highly capable models with open weights and detailed technical reports, achieving strong benchmark performance while emphasizing training efficiency. The family includes a general-purpose model, a dedicated reasoning-focused variant, and a coding-specialized model, reflecting a strategy of shipping both broad and specialized releases.
LLMWIKI tracks DeepSeek at both the family level, here, and the individual variant level, so you can get oriented on how the family is structured before drilling into a specific release's exact specs and pricing. Where a company ships multiple sizes or variants, the general pattern is a trade-off between capability, latency, and cost — larger or newer releases tend to handle harder, longer, or more ambiguous tasks more reliably, while smaller or older releases are cheaper and faster for simple, high-volume use.
Variants in the DeepSeek Family
Where It Fits in Practice
- Evaluating DeepSeek's models as an open-weight alternative to closed competitors
- Understanding the difference between DeepSeek's general, reasoning, and coding-focused variants
- Following DeepSeek's technical reports for insight into efficient training approaches
- Comparing DeepSeek's models against competing open-weight and closed model families
- Self-hosting a DeepSeek model to avoid per-token API costs at high volume
Considerations
DeepSeek's models are released with open weights, but reviewing the specific license terms for your intended use, especially commercial deployment, is still worth doing before committing to self-hosting one. The lab has also been notable for publishing detailed technical reports alongside its releases, which is worth reading directly if you want to understand the specific training techniques behind a given model's performance.
Frequently Asked
Which DeepSeek variant should I start with?
That depends on your task's complexity, latency needs, and budget — see the variant profiles linked below for specifics on each.
How often does DeepSeek release new versions?
Varies by lab and generation — check the individual variant pages for release history.
Are all DeepSeek variants priced the same?
No — pricing and access vary by variant, with larger, more capable versions generally costing more per token.
Where can I compare DeepSeek directly against a competing family?
See the Comparisons hub for head-to-head pages between specific models.
Is DeepSeek available as open weights?
Availability varies by specific variant and license — check the individual model page for details.
How is this family page different from an individual model profile?
This page orients you across the DeepSeek lineup as a whole; each individual variant has its own dedicated profile with specific benchmarks, pricing, and considerations.