DeepSeek

DeepSeek has emerged as one of the most disruptive forces in AI, delivering open-weight models that rival or exceed closed competitors on coding, mathematics, and reasoning benchmarks — at a fraction of the cost. Their flagship DeepSeek-V3 model handles complex code generation, debugging, and multi-step reasoning with accuracy that puts it in the same tier as GPT-4 and Claude, while DeepSeek-R1 is a dedicated reasoning model that competes directly with OpenAI's o1 series.

What makes DeepSeek genuinely different is the economics. API pricing starts at roughly $0.27 per million input tokens for DeepSeek-V3 (with cache hits even cheaper), making it 10-20x less expensive than comparable closed models. For teams processing large codebases or running heavy reasoning workloads, the cost savings are dramatic. There's also a generous free tier with the web chat interface.

The open-weight approach means you can self-host these models on your own infrastructure — important for companies with strict data sovereignty requirements. The trade-off is that the platform ecosystem is leaner than OpenAI's or Anthropic's: no built-in IDE integrations, no agent frameworks, just raw model access via API or the web chat. You'll typically use DeepSeek through third-party tools like Cursor, Continue, or your own integrations.