Hermes 3 Llama 3.1 405B

by Nous Research

Hermes 3 405B is the first full-parameter fine-tune of Meta's Llama 3.1 405B, Nous Research's largest Hermes 3 model, with a 131,072 token context window. The model brings advanced agentic capabilities, reliable function calling, and structured outputs, combined with much improved roleplaying, reasoning, and multi-turn conversation coherence over long contexts. Training emphasized high-quality instruction data designed to make the model follow system prompts adaptively and precisely. Nous Research positions Hermes 3 405B as competitive, if not superior, to Llama 3.1 Instruct on general capabilities, while unlocking stronger steerability toward individual alignment preferences. This model targets developers building sophisticated multi-agent systems, complex reasoning pipelines, and applications requiring deep context coherence. It uses the ChatML prompt format and works with OpenAI-compatible serving stacks such as vLLM and SGLang.

Key info

Input
Output
Features
Context window
131K
Max output
131K
Input price
$1.00 /1M
Output price
$1.00 /1M
  • US residency available
  • Zero data retention on pay-as-you-go
  • No training by default
  • no-KYC deposit available

Available routes

Hermes 3 Llama 3.1 405B runs on 1 route through the qynio gateway. Compare residency, zero retention, and training posture at a glance β€” full data-handling detail per route below.

ProviderRegionZero data retentionTrainingInputOutput
USZero data retentionNo$1.00$1.00

Uptime and availability

Hermes 3 Llama 3.1 405B runs on a single route through the qynio gateway today, so its availability is that provider's availability.

100%route uptime, last 30 days
Single route, no failover target within this model.

Name a second model in the same request and the gateway tries it on retriable errors, so a busy hour never has to reach your users. .

Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider qynio monitors.

Data handling per route

Each route hosting Hermes 3 Llama 3.1 405B has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.

DeepInfra β€” United StatesπŸ‡ΊπŸ‡Έ

Zero data retention is on by default on Pay-as-you-go β€” no action required. No training on customer data. US; unknown; deposit available.

Zero data retention
On by default on Pay-as-you-go. Derived from the logging and moderation facts.
Training
No training on customer data.
Logging
None
Moderation
Not established
Caching
Not established
Subprocessor access
Not established
no-KYC deposit
deposit available
Transfer mechanism
unknown

Get started

Call Hermes 3 Llama 3.1 405B through the qynio gateway with one API key. Let your coding agent set it up, or call it directly β€” qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.

Set it up with your agent

Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up qynio for you.

Or call it directly

import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.QYN_API_KEY,
baseURL: "https://api.qyn.io/v3/compat",
});
const completion = await client.chat.completions.create({
model: "deepinfra/NousResearch/Hermes-3-Llama-3.1-405B",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

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