Tool profile
DeepSeek
DeepSeek builds and releases large language models that can be used via a chat interface, a developer API, or self-hosted since the weights are open. The models are trained at unusually low cost and compete with top Western models on coding, math, and reasoning benchmarks. DeepSeek made headlines in early 2025 when its R1 reasoning model matched or beat OpenAI's best models at a fraction of the price.
Models and pricing
General-purpose text generation, coding, summarisation, and instruction-following
Pick this for everyday tasks where you want fast, cheap, high-quality output without needing step-by-step reasoning traces. It is the workhorse model.
Complex reasoning, multi-step math, competitive programming, and logic problems
Pick this when accuracy on hard problems matters more than speed or cost. It thinks step by step like OpenAI o1 and is dramatically cheaper than o1. Note it is slower due to chain-of-thought processing.
Self-hosting or edge deployment where you want R1-style reasoning in a smaller, runnable model
Pick a distill variant if you want to run reasoning locally on your own GPU or avoid sending data to DeepSeek's servers. The 7B and 14B sizes run on a single consumer GPU; the 70B needs significant hardware.
Casual use, quick questions, trying the models without an API key
Use this if you just want to test the model or use it occasionally. Not suitable for building apps or processing large volumes of text.
Which model should you use?
For most developers, start with DeepSeek-V3 via the API for general tasks since it is fast and extremely cheap; switch to DeepSeek-R1 only when you need rigorous step-by-step reasoning on hard math, science, or coding problems.
How we evaluate
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