deepseek-ai/DeepSeek-R1

Created 1/22/2025

deepseek-ai

$0.72 / M Tokens

Live

We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step, demonstrated remarkable performance on reasoning. With RL, DeepSeek-R1-Zero naturally emerged with numerous powerful and interesting reasoning behaviors. However, DeepSeek-R1-Zero encounters challenges such as endless repetition, poor readability, and language mixing. To address these issues and further enhance reasoning performance, we introduce DeepSeek-R1, which incorporates cold-start data before RL. DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks. To support the research community, we have open-sourced DeepSeek-R1-Zero, DeepSeek-R1, and six dense models distilled from DeepSeek-R1 based on Llama and Qwen. DeepSeek-R1-Distill-Qwen-32B outperforms OpenAI-o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.

Text Generation

Model Usage

Code Examples

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Chat Example

Basic example of chat with the selected model

curl

1curl https://api.targon.com/v1/chat/completions \
2  -H "Content-Type: application/json" \
3  -H "Authorization: Bearer YOUR_API_KEY" \
4  -N \
5  -d '{
6    "model": "deepseek-ai/DeepSeek-R1",
7    "stream": true,
8    "messages": [
9      {"role": "system", "content": "You are a helpful programming assistant."},
10      {"role": "user", "content": "Write a bubble sort implementation in Python with comments explaining how it works"}
11    ],
12    "temperature": 0.7,
13    "max_tokens": 256,
14    "top_p": 0.1,
15    "frequency_penalty": 0,
16    "presence_penalty": 0
17  }'

Completions Example

Basic example of completions with the selected model

curl

1curl https://api.targon.com/v1/completions \
2    -H "Content-Type: application/json" \
3    -H "Authorization: Bearer YOUR_API_KEY" \
4    -N \
5    -d '{
6      "model": "deepseek-ai/DeepSeek-R1",
7      "stream": true,
8      "prompt": "The x y problem is",
9      "temperature": 0.7,
10      "max_tokens": 256,
11      "top_p": 0.1,
12      "frequency_penalty": 0,
13      "presence_penalty": 0
14    }'