Using DeepSeek Coder 33B on Together AI
Implementation guide · DeepSeek Coder · DeepSeek
ServerlessOpen Source
Quick Start
- 1
- 2Use the Together AI SDK or REST API to call
deepseek-coder-33b— see the documentation for request format. - 3
Code Examples
Install
pip install togetherAPI key
TOGETHER_API_KEYModel ID
deepseek-coder-33bTogether 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-coder-33b",
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
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.80 |
| Output tokens | $0.80 |
Capabilities
Structured Outputs
About DeepSeek Coder 33B
DeepSeek Coder 33B is DeepSeek's DeepSeek Coder model focused on code generation and software engineering. It offers a 16K-token context window with weights openly available for self-hosting and scores 57.1 on HumanEval.
Model Specs
Released2024-03-07
Parameters33B
Context16K
ArchitectureDecoder Only
Knowledge cutoff2023-03