---
title: Hermes 3 405B Instruct — Free LLM | ModelsLab
description: Access Nous: Hermes 3 405B Instruct (free) via API for advanced reasoning and code generation. Try this 405B parameter model now.
url: https://modelslab.com/nous-hermes-3-405b-instruct-free
canonical: https://modelslab.com/nous-hermes-3-405b-instruct-free
type: website
component: Seo/ModelPage
generated_at: 2026-06-03T17:42:17.267314Z
---

Available now on ModelsLab · Language Model

Nous: Hermes 3 405B Instruct (free)
Frontier LLM Free
---

[Try Nous: Hermes 3 405B Instruct (free)](/models/open_router/nousresearch-hermes-3-llama-3.1-405b-free) [API Documentation](https://docs.modelslab.com)

Unlock Hermes Capabilities
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Agentic Power

### Advanced Reasoning Control

Steer 405B model for reasoning, roleplay, and multi-turn chats with precise prompt adherence.

Code Mastery

### Superior Generation

Generate, debug, and optimize code across languages using Nous: Hermes 3 405B Instruct (free).

Long Context

### 131K Token Window

Maintain coherence in extended conversations with Nous: Hermes 3 405B Instruct (free) API.

Examples

See what Nous: Hermes 3 405B Instruct (free) can create
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Copy any prompt below and try it yourself in the [playground](/models/open_router/nousresearch-hermes-3-llama-3.1-405b-free).

Code Debugger

“Analyze this Python function for bugs and suggest optimizations: def fibonacci(n): if n <= 1: return n else: return fibonacci(n-1) + fibonacci(n-2)”

Math Solver

“Solve step-by-step: Find the integral of x^2 \* e^x dx using integration by parts.”

JSON Formatter

“Convert this data to structured JSON with schema validation: user data includes name, age 30, skills python rust.”

Logic Puzzle

“Three houses in a row. Red has fox, blue has dog, green has bird. Who lives next to the cat owner?”

For Developers

A few lines of code.
Hermes 405B. Free API.
---

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 Nous: Hermes 3 405B Instruct (free)
---

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

### What is Nous: Hermes 3 405B Instruct (free)?

Full fine-tune of Llama 3.1 405B by Nous Research. Focuses on user alignment, reasoning, and code. Free via API endpoints.

### How to use nous hermes 3 405b instruct free API?

Include Puter.js library in JS or use OpenAI-compatible endpoints in Python/cURL. No backend setup needed. Supports max 16K output tokens.

### Nous: Hermes 3 405B Instruct (free) context length?

131,072 tokens input window. Handles long multi-turn conversations. Up to 16K tokens output per response.

### Is Nous: Hermes 3 405B Instruct (free) model good for coding?

Excels in code generation, debugging, and explanations. Competitive with Llama 3.1 Instruct. Supports multiple languages.

### Nous: Hermes 3 405B Instruct (free) alternative to paid LLMs?

Free access matches paid models in reasoning and steerability. Use via API for agentic tasks. Strong prompt adherence.

### Does nous hermes 3 405b instruct free support function calling?

Yes, reliable function calling and structured output. Ideal for tool use and JSON responses. Works in JS frameworks.

Ready to create?
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Start generating with Nous: Hermes 3 405B Instruct (free) on ModelsLab.

[Try Nous: Hermes 3 405B Instruct (free)](/models/open_router/nousresearch-hermes-3-llama-3.1-405b-free) [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 - 2026-06-03*