---
title: DeepSeek Coder 33B Instruct — Code LLM | ModelsLab
description: Generate production code with DeepSeek Coder 33B Instruct API. Supports 80+ languages, 16K context. Try DeepSeek Coder 33B Instruct model now.
url: https://modelslab.com/deepseek-coder-33b-instruct
canonical: https://modelslab.com/deepseek-coder-33b-instruct
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T03:58:11.431420Z
---

Available now on ModelsLab · Language Model

Deepseek Coder 33B Instruct
Code Writes Itself
---

[Try Deepseek Coder 33B Instruct](/models/together_ai/deepseek-ai-deepseek-coder-33b-instruct) [API Documentation](https://docs.modelslab.com)

Master Code Generation
---

33B Parameters

### Project-Level Completion

Handles 16K context for code infilling across 80+ languages with Deepseek Coder 33B Instruct model.

Instruction Tuned

### Precise Code Reasoning

Follows developer prompts for generation, refactoring, and debugging via Deepseek Coder 33B Instruct API.

Fine-Tunable

### Custom Data Training

Adapt Deepseek Coder 33B Instruct with LoRA on your datasets for specialized coding tasks.

Examples

See what Deepseek Coder 33B Instruct can create
---

Copy any prompt below and try it yourself in the [playground](/models/together_ai/deepseek-ai-deepseek-coder-33b-instruct).

REST API

“Write a FastAPI endpoint that accepts JSON input for user registration, validates email with pydantic, hashes password with bcrypt, and stores in PostgreSQL with SQLAlchemy. Include error handling and response models.”

Algorithm Optimize

“Refactor this Python bubble sort to quicksort with O(n log n) complexity. Add type hints, docstrings, and unit tests using pytest. Original code: def bubble\_sort(arr): ...”

React Hook

“Create a custom React hook useAsyncQuery that fetches data from a GraphQL endpoint, handles loading, error, and refetch states. Use TypeScript, Apollo Client, and include debounce for search inputs.”

Docker Script

“Generate a multi-stage Dockerfile for a Node.js app with Yarn, production build, Nginx serve, healthcheck, and non-root user. Optimize layers and include .dockerignore best practices.”

For Developers

A few lines of code.
Code gen. One call.
---

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

- **Serverless:** scales to zero, scales to millions
- **Pay per token,** no minimums
- **Python and JavaScript SDKs,** plus REST API

[API Documentation ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())</code>
```

FAQ

Common questions about Deepseek Coder 33B Instruct
---

[Read the docs ](https://docs.modelslab.com)

### What is Deepseek Coder 33B Instruct?

### How does Deepseek Coder 33B Instruct API work?

### What languages does Deepseek Coder 33B Instruct model support?

### Is Deepseek Coder 33B Instruct alternative to proprietary models?

### Can I fine-tune Deepseek Coder 33B Instruct LLM?

### Deepseek Coder 33B Instruct API context length?

Ready to create?
---

Start generating with Deepseek Coder 33B Instruct on ModelsLab.

[Try Deepseek Coder 33B Instruct](/models/together_ai/deepseek-ai-deepseek-coder-33b-instruct) [API Documentation](https://docs.modelslab.com)

---

*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

---
*Generated by ModelsLab - 2026-04-15*