Hermes 3 70B is a fine-tune of Llama 3.1 70B that delivers Nous Research's agentic capabilities at a more deployable scale than the 405B model. With a 131,072 token context window, it supports extended multi-turn conversations and long-form reasoning while keeping strong function calling and structured output support for tool-use applications. Built through fine-tuning on high-quality instruction data, Hermes 3 70B is positioned as competitive, if not superior, to Llama 3.1 Instruct on general tasks, with particular gains in roleplaying, multi-turn dialogue coherence, and reasoning. The model uses the ChatML prompt format and supports function calling within assistant turns. This model suits teams balancing capability against compute cost, especially for agentic systems, content generation that needs consistency over long contexts, and reasoning workloads where 70B parameters are sufficient. It works with common OpenAI-compatible serving stacks including vLLM and SGLang.
Hermes 3 Llama 3.1 70B runs on 1 route through the qynio gateway. Compare residency, zero retention, and training posture at a glance — full data-handling detail per route below.
| Provider | Region | Zero data retention | Training | Input | Output |
|---|---|---|---|---|---|
| US | Zero data retention | No | $0.70 | $0.70 |
Hermes 3 Llama 3.1 70B runs on a single route through the qynio gateway today, so its availability is that provider's availability.
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.
Each route hosting Hermes 3 Llama 3.1 70B has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.
Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. US; unknown; deposit available.
Independent benchmark scores — composite indices for reasoning, coding, and math, plus individual eval scores where available.
Call Hermes 3 Llama 3.1 70B through the qynio gateway with one API key. Let your coding agent set it up, or call it directly — qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.
Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up qynio for you.
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-3.1-70B",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
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