llmreference
Together AI

Using DeepSeek R1 0528 on Together AI

Implementation guide · DeepSeek R1 · DeepSeek

ServerlessOpen Source

Quick Start

  1. 1
    Create an account at Together AI and generate an API key.
  2. 2
    Use the Together AI SDK or REST API to call deepseek-r1-0528 — see the documentation for request format.
  3. 3
    You'll be billed $3.00/1M input, $7.00/1M output tokens. See full pricing.

Code Examples

Install
pip install together
API key
TOGETHER_API_KEY
Model ID
deepseek-r1-0528

Together uses "organization/model-name" format, e.g. "meta-llama/Llama-4-Scout-17B-16E-Instruct" or "Qwen/QwQ-32B". See the Together model catalog for the exact ID.

from together import Together

client = Together()  # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
    model="deepseek-r1-0528",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

About Together AI

Platform for running open-source and proprietary LLMs

Together AI is a platform for running open-source and proprietary LLMs with fast serverless and dedicated endpoints at competitive inference pricing.

Pricing on Together AI

TypePrice (per 1M)
Input tokens$3.00
Output tokens$7.00

Capabilities

ReasoningStructured OutputsCode Execution

About DeepSeek R1 0528

DeepSeek R1 0528 is DeepSeek's DeepSeek R1 model with an optional reasoning mode. It offers a 160K-token context window with weights openly available for self-hosting and scores 81 on GPQA.

Model Specs

Released2025-01-01
Parameters671B
Context160K
ArchitectureDecoder Only

Provider

Together AI
Together AI

San Francisco, California, United States