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Hermes 3 405B Instruct

Verified

Open-weight instruct model tuned for complex reasoning and tool use.

Nous ResearchLanguage ModelsOpen
Model page
Updated 2026-06-15

About Hermes 3 405B Instruct

Hermes 3 405B Instruct was created by fine-tuning a large base model to improve adherence to detailed user instructions. Nous Research focused on enhancing multi-turn dialogue and structured output generation while keeping the weights openly available.

Its 131072-token context window allows processing of lengthy documents and extended conversations without truncation. The open-weight release enables local deployment, customization, and integration into research pipelines.

Typical applications include building custom agents, performing step-by-step reasoning tasks, and generating code or technical documentation. Users often combine it with external tools to extend its capabilities beyond pure text generation.

Capabilities

Long-context reasoning
Instruction following
Tool use and function calling
Multi-step problem solving
Code generation
Creative text generation

How Hermes 3 405B Instruct compares

Hermes 3 405B Instruct (striped bar) vs other language models on intelligence, speed and price.

Price

USD per 1M output tokens · Lower is better · Hermes 3 405B Instruct ranks #87 of 141

$0.90
MiniMax M2.5
$0.95
DeepSeek V3.1 Terminus
$0.95
MiniMax M2.1
$0.97
Qwen3 Coder Flash
$1.0
MiniMax M2
$1.0
MiniMax M2.7
$1.0
Hermes 3 405B Instruct
$1.0
Qwen2.5 Coder 32B Instruct
$1.0
Weaver
$1.1
Qwen3 Next 80B A3B Instruct
$1.1
INTELLECT-3
$1.2
KAT-Coder-Pro V2
$1.2
Virtuoso Large

Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).

Best for

Long Document Analysis

The 131072 token context enables effective reasoning across very long inputs such as full books, lengthy reports, or extended conversation histories.

Agent and Tool Workflows

Strong tool use and function calling support the creation of reliable multi-step agents that interact with external APIs and data sources.

Complex Coding Projects

Advanced code generation combined with multi-step problem solving makes the model suitable for building large applications or debugging intricate codebases.

Strengths & limitations

Strengths

  • +Strong complex instruction adherence
  • +Effective agentic and tool-calling behavior
  • +Good context retention over long inputs
  • +Flexible for role-playing and custom fine-tuning

Limitations

  • Text modality only
  • High inference compute cost
  • Can still hallucinate on factual tasks

Cost calculator

Estimate what Hermes 3 405B Instruct would cost for your usage.

$0.00150
per request
$15
estimated / month

Based on Hermes 3 405B Instruct's $1.00/1M input · $1.00/1M output. Estimate only — actual cost varies by provider and caching.

Quick start

OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.

JavaScript · openai
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://openrouter.ai/api/v1",
  apiKey: process.env.OPENROUTER_API_KEY,
});

const completion = await client.chat.completions.create({
  model: "nousresearch/hermes-3-llama-3.1-405b",
  messages: [{ role: "user", content: "Hello!" }],
});

console.log(completion.choices[0].message.content);

Model slug: nousresearch/hermes-3-llama-3.1-405b

Editor's verdict

Our take on Hermes 3 405B Instruct

Hermes 3 405B Instruct is Nous Research's open-weight language models with a 131K-token context window.

At $1.00 per 1M output tokens, it is mid-priced for its class.

As an open-weight model you can self-host it or call it through a hosted API.

Best suited to strong complex instruction adherence and effective agentic and tool-calling behavior.

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Frequently asked questions

The model provides a context window of 131072 tokens.

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Other Hermes models

Sibling versions in the Hermes family from Nous Research.

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