---
title: DeepSeek R1 Distill Llama 70B — Reasoning LLM | ModelsLab
description: Access DeepSeek: R1 Distill Llama 70B API for top math and code reasoning. Generate precise solutions via 131k context. Try now.
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/deepseek-r1-distill-llama-70b
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/deepseek-r1-distill-llama-70b
type: website
component: Seo/ModelPage
generated_at: 2026-05-13T10:37:06.917182Z
---

Available now on ModelsLab · Language Model

DeepSeek: R1 Distill Llama 70B
Reason Deep. Distill Smart.
---

[Try DeepSeek: R1 Distill Llama 70B](/models/open_router/deepseek-deepseek-r1-distill-llama-70b) [API Documentation](https://docs.modelslab.com)

Distill R1 Power Efficiently.
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Math Mastery

### 94.5% MATH-500 Score

Leads distilled models on MATH-500 and 86.7% AIME 2024 for advanced math reasoning.

Code Precision

### 57.5 LiveCodeBench

Outperforms o1-mini on GPQA Diamond and LiveCodeBench for reliable code generation.

Context Scale

### 131k Token Window

Handles long sequences with RoPE and Flash Attention on Llama-3.3-70B base.

Examples

See what DeepSeek: R1 Distill Llama 70B can create
---

Copy any prompt below and try it yourself in the [playground](/models/open_router/deepseek-deepseek-r1-distill-llama-70b).

Math Proof

“Prove the infinitude of primes using contradiction. Provide step-by-step reasoning and formal notation.”

Code Algorithm

“Write Python code for Dijkstra's algorithm on a graph with 100 nodes. Include priority queue and edge weights.”

Logic Puzzle

“Solve this riddle: Five houses in a row, each with different color, owner nationality, drink, smoke, pet. Deduce pairings from clues.”

Physics Derivation

“Derive the Schrödinger equation from classical wave mechanics. Explain each quantum assumption step-by-step.”

For Developers

A few lines of code.
Reasoning API. 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 Llama 70B
---

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

### What is DeepSeek: R1 Distill Llama 70B model?

70.6B dense transformer distilled from DeepSeek-R1 into Llama-3.3-70B-Instruct base. Focuses on reasoning, math, code. Uses 112 attention heads with RoPE.

### How does DeepSeek R1 Distill Llama 70B API perform?

94.5% MATH-500, 86.7% AIME 2024, 65.2% GPQA Diamond, 57.5 LiveCodeBench. Tops distilled models in benchmarks.

### What context length supports DeepSeek: R1 Distill Llama 70B?

131k tokens standard, up to 128k on some platforms. Enables complex multi-step reasoning.

### Is DeepSeek R1 Distill Llama 70B API fine-tunable?

Yes, supports LoRA fine-tuning with custom data. Deploy via on-demand GPUs without rate limits.

### DeepSeek: R1 Distill Llama 70B alternative to what?

Smarter than base Llama 70B in reasoning. Beats o1-mini, GPT-4o on select math/code benchmarks.

### DeepSeek R1 Distill Llama 70B model hardware needs?

Dense 70B requires substantial VRAM for inference. Optimized for efficient deployment on consumer hardware.

Ready to create?
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Start generating with DeepSeek: R1 Distill Llama 70B on ModelsLab.

[Try DeepSeek: R1 Distill Llama 70B](/models/open_router/deepseek-deepseek-r1-distill-llama-70b) [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 - 2026-05-13*