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Nous: Hermes 4 405B

by Nous

Hermes 4 is a large-scale reasoning model built on Meta-Llama-3.1-405B and released by Nous Research. It introduces a hybrid reasoning mode, where the model can choose to deliberate internally with <think>...</think> traces or respond directly, offering flexibility between speed and depth. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config) The model is instruction-tuned with an expanded post-training corpus (~60B tokens) emphasizing reasoning traces, improving performance in math, code, STEM, and logical reasoning, while retaining broad assistant utility. It also supports structured outputs, including JSON mode, schema adherence, function calling, and tool use. Hermes 4 is trained for steerability, lower refusal rates, and alignment toward neutral, user-directed behavior.

Avg Score

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Pricing

$1.00

input

/

$3.00

output

per 1M tokens

Context

131K

tokens

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Other Models from Nous

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ModelScoreLatencyCost/1M
Nous: Hermes 4 70B——$0.24
Nous: DeepHermes 3 Mistral 24B Preview——$0.06
Nous: Hermes 3 70B Instruct——$0.30
Nous: Hermes 3 405B Instruct——$0.0000
Nous: Hermes 3 405B Instruct——$1.00
NousResearch: Hermes 2 Pro - Llama-3 8B——$0.05

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Quickstart

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import { OpenRouter } from "@openrouter/sdk";

const openrouter = new OpenRouter({
  apiKey: "<OPENROUTER_API_KEY>"
});

const completion = await openrouter.chat.completions.create({
  model: "nousresearch/hermes-4-405b",
  messages: [
    {
      role: "user",
      content: "Hello!"
    }
  ]
});

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

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