---
title: DeepSeek R1 Original — Reasoning LLM | ModelsLab
description: Access DeepSeek R1 (Original) API for advanced reasoning, math, and coding. Generate step-by-step solutions via LLM endpoint. Try it now.
url: https://modelslab.com/deepseek-r1-original
canonical: https://modelslab.com/deepseek-r1-original
type: website
component: Seo/ModelPage
generated_at: 2026-07-01T04:01:37.083245Z
---

Available now on ModelsLab · AI Model

DeepSeek R1 (Original)
Reason Step by Step
---

[Try DeepSeek R1 (Original)](/models/together_ai/deepseek-ai-DeepSeek-R1-Original) [API Documentation](https://docs.modelslab.com)

Master Complex Reasoning
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MoE Architecture

### 671B Parameters Efficient

Activates 37B per pass for scalable reasoning in DeepSeek R1 (Original) model.

RL Training

### Chain-of-Thought Native

Pure reinforcement learning builds self-verification in DeepSeek R1 (Original) LLM.

Benchmark Leader

### Math Coding Superior

Outperforms o1 on AIME and MATH via DeepSeek R1 (Original) API.

Examples

See what DeepSeek R1 (Original) can create
---

Copy any prompt below and try it yourself in the [playground](/models/together_ai/deepseek-ai-DeepSeek-R1-Original).

Math Proof

“Solve this AIME-level math problem step by step: Prove that the sum of the first n odd numbers is n squared, using induction and provide numerical verification for n=5.”

Code Debug

“Write Python code to implement binary search on a sorted array, then debug this faulty version: def binary\_search(arr, target): ... and explain fixes with reasoning.”

Logic Puzzle

“Solve the Einstein riddle: Five houses in different colors, owners of different nationalities drink different beverages, smoke different brands, and keep different pets. Who owns the fish? Reason chain by chain.”

Science Reasoning

“Explain quantum entanglement step by step, derive Bell's inequality violation, and discuss EPR paradox implications with mathematical formalism.”

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 (Original)
---

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

### What is DeepSeek R1 (Original)?

DeepSeek R1 (Original) is an open-source LLM with 671B MoE parameters, trained via pure RL for chain-of-thought reasoning. It excels in math and coding benchmarks. Use DeepSeek R1 (Original) API for efficient inference.

### How does deepseek r1 original API work?

Send prompts to the LLM endpoint for step-by-step reasoning outputs. Activates 37B parameters per pass for speed. Ideal for complex tasks via deepseek r1 original api.

### Is DeepSeek R1 (Original) model better than o1?

It matches or beats OpenAI o1 on AIME (52.5%) and MATH (91.6%). Provides transparent CoT unlike black-box models. DeepSeek R1 (Original) alternative for reasoning.

### What training makes deepseek r1 (original) unique?

Pure RL without initial SFT, plus cold-start data for coherence. Builds self-reflection and verification. Powers DeepSeek R1 (Original) LLM strengths.

### Where to access DeepSeek R1 (Original) API?

Available via ModelsLab LLM endpoint. Supports high-speed processing for real-time apps. Direct integration for DeepSeek R1 (Original) model.

### Why choose DeepSeek R1 (Original) alternative?

Open-source with superior efficiency and reasoning transparency. Handles multilingual NLP and multi-step planning. Scalable via deepseek r1 original api.

Ready to create?
---

Start generating with DeepSeek R1 (Original) on ModelsLab.

[Try DeepSeek R1 (Original)](/models/together_ai/deepseek-ai-DeepSeek-R1-Original) [API Documentation](https://docs.modelslab.com)

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*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)

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*Generated by ModelsLab - 2026-07-01*