DeepSeek R1 (0528)

DeepSeek·May 2025reasoningopen weights · MIT

67.8

modhub Index

DeepSeek R1 triggered the January 2025 "DeepSeek moment": an openly licensed reasoning model approaching o1-class performance, trained with pure reinforcement learning, at a fraction of Western lab costs. The 0528 update lifted its math and coding scores further. Newer DeepSeek releases have absorbed its techniques, but R1 remains one of the most-downloaded open models ever and the foundation of countless distilled variants.

Benchmark results

Where it shines

  • Historic open-weights reasoning breakthrough
  • Visible chain-of-thought useful for research and distillation
  • Huge ecosystem of fine-tunes and distillations

Alternatives to DeepSeek R1 (0528)

Frequently asked questions

How much does the DeepSeek R1 (0528) API cost?
DeepSeek R1 (0528) costs $0.55 per million input tokens and $2.19 per million output tokens, with cached input at $0.14 per million. A workload of 10M input and 1.5M output tokens per month costs about $8.79.
What is the context window of DeepSeek R1 (0528)?
DeepSeek R1 (0528) supports a context window of 128,000 tokens (128K), with up to 64K output tokens per response.
Is DeepSeek R1 (0528) open source?
Yes — DeepSeek R1 (0528) is an open-weights model released under the MIT license, so it can be downloaded and self-hosted.
What are the best alternatives to DeepSeek R1 (0528)?
The closest alternatives by overall capability are Kimi K2 Thinking, OpenAI o3, Claude Sonnet 4.5, GPT-5. See the comparison pages for detailed head-to-head breakdowns.