Many of us have been using OpenAI’s o1 model to get things done and have been impressed by its reasoning capabilities. If open source is what you support, you may want to give DeepSeek-R1 a look. It performs on par with OpenAI-o1. The below chart shows how it stacks up against its competition:
🚀 DeepSeek-R1 is here!
⚡ Performance on par with OpenAI-o1
📖 Fully open-source model & technical report
🏆 MIT licensed: Distill & commercialize freely!🌐 Website & API are live now! Try DeepThink at https://t.co/v1TFy7LHNy today!
🐋 1/n pic.twitter.com/7BlpWAPu6y
— DeepSeek (@deepseek_ai) January 20, 2025
DeepSeek has also released 6 smaller models with 32B & 70B parameters that are on par with o1-mini. The DeepSeek-R1 is MIT licensed. The API cost is as follows:
💰 $0.14 / million input tokens (cache hit)
💰 $0.55 / million input tokens (cache miss)
💰 $2.19 / million output tokens
[HT]
