---
title: DeepSeek R1 Distill Qwen 14B — Reasoning LLM | ModelsLab
description: Access DeepSeek R1 Distill Qwen 14B API to generate superior math, code, and reasoning outputs rivaling o1-mini. Deploy via LLM endpoint now.
url: https://modelslab.com/deepseek-r1-distill-qwen-14b
canonical: https://modelslab.com/deepseek-r1-distill-qwen-14b
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T02:08:52.774699Z
---

Available now on ModelsLab · Language Model

DeepSeek R1 Distill Qwen 14B
Reason Like o1-mini
---

[Try DeepSeek R1 Distill Qwen 14B](/models/deepseek/deepseek-ai-DeepSeek-R1-Distill-Qwen-14B) [API Documentation](https://docs.modelslab.com)

Master Math Code Reasoning
---

Top Benchmarks

### Outperforms o1-mini

DeepSeek R1 Distill Qwen 14B hits 93.9% MATH-500, 69.7% AIME 2024 pass@1.

128K Context

### Handles Long Inputs

Supports 128k token context for complex chain-of-thought reasoning tasks.

Open Weights

### API Ready Deploy

DeepSeek R1 Distill Qwen 14B API enables fast inference on dedicated GPUs.

Examples

See what DeepSeek R1 Distill Qwen 14B can create
---

Copy any prompt below and try it yourself in the [playground](/models/deepseek/deepseek-ai-DeepSeek-R1-Distill-Qwen-14B).

Math Proof

“Solve this AIME-level problem step-by-step: Find the number of positive integers n such that n divides 2^n + 2. Explain each reasoning step clearly.”

Code Debug

“Write Python code to implement a binary search tree with insert and search functions. Include edge cases and optimize for O(log n) time.”

Logic Puzzle

“Three logicians A, B, C wear hats that are either red or blue. A sees two red hats, B sees one red one blue, C sees two blue. They deduce colors using logic.”

Algorithm Design

“Design an efficient algorithm to find the longest increasing subsequence in an array of integers. Provide pseudocode, time complexity, and example.”

For Developers

A few lines of code.
Reasoning LLM. 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 R1 Distill Qwen 14B
---

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

### What is DeepSeek R1 Distill Qwen 14B?

### How to use DeepSeek R1 Distill Qwen 14B API?

### DeepSeek R1 Distill Qwen 14B model benchmarks?

### Is DeepSeek R1 Distill Qwen 14B alternative to o1?

### DeepSeek R1 Distill Qwen 14B vs Qwen 14B?

### Deepseek r1 distill qwen 14b alternative options?

Ready to create?
---

Start generating with DeepSeek R1 Distill Qwen 14B on ModelsLab.

[Try DeepSeek R1 Distill Qwen 14B](/models/deepseek/deepseek-ai-DeepSeek-R1-Distill-Qwen-14B) [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*