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LLMS • CURATED • UPDATED JAN 20, 2025

DeepSeek R1

The open-weight reasoning model that sparked the efficiency revolution

DeepSeek R1 is a 671B-parameter open-weight reasoning model that matches o1-class performance on math, code, and logic benchmarks through reinforcement learning on verifiable tasks. It exposes chain-of-thought reasoning and is available as MIT-licensed local weights and via API, with the R1-0528 update in May 2025 further improving math and code reasoning.

Pricing Freemium
Platforms web, api, local
API Yes
Open Source Yes
Modalities LLMs, Multimodal Reasoning
Best For Best for Open Reasoning
Date Added 2025-01-20

R1 proved that open-weight models can match proprietary reasoning systems at a fraction of the cost, making it a landmark for reproducible AI research.

Claude Opus 4.6 Claude Opus 5 NotebookLM GPT-5.6 Sol Kimi K3
Freemium Free tier available

Free tier includes limited features. Paid plans unlock full access, higher usage limits, and commercial usage rights.

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Q

Is DeepSeek R1 free?

A

DeepSeek R1 offers a free tier with optional paid upgrades.

Q

Does DeepSeek R1 have an API?

A

Yes, DeepSeek R1 offers an API for programmatic integration.

Q

What is DeepSeek R1 best for?

A

DeepSeek R1 is best for Best for Open Reasoning. DeepSeek R1 is a 671B-parameter open-weight reasoning model that matches o1-class performance on math, code, and logic benchmarks through reinforcement learning on verifiable tasks. R1 proved that open-weight models can match proprietary reasoning systems at a fraction of the cost, making it a landmark for reproducible AI research.

Q

What platforms does DeepSeek R1 support?

A

DeepSeek R1 supports web, api, local.

Q

Is DeepSeek R1 open source?

A

Yes, DeepSeek R1 is open source. You can access the source code on GitHub at https://github.com/deepseek-ai/DeepSeek-R1.

Q

How do I use DeepSeek R1?

A

DeepSeek R1 is a large language model for text generation, analysis, and conversation. Access through the web interface. Enter prompts or questions to get responses.

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