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Nous: Hermes 3 70B Instruct

nousresearch/hermes-3-llama-3.1-70b

Created Aug 18, 202465,536 context
$0.30/M input tokens$0.30/M output tokens

Hermes 3 is a generalist language model with many improvements over Hermes 2, including advanced agentic capabilities, much better roleplaying, reasoning, multi-turn conversation, long context coherence, and improvements across the board.

Hermes 3 70B is a competitive, if not superior finetune of the Llama-3.1 70B foundation model, focused on aligning LLMs to the user, with powerful steering capabilities and control given to the end user.

The Hermes 3 series builds and expands on the Hermes 2 set of capabilities, including more powerful and reliable function calling and structured output capabilities, generalist assistant capabilities, and improved code generation skills.

Providers for Hermes 3 70B Instruct

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for Hermes 3 70B Instruct

Compare different providers across OpenRouter

Apps using Hermes 3 70B Instruct

Top public apps this month

Recent activity on Hermes 3 70B Instruct

Total usage per day on OpenRouter

Prompt
19.9M
Completion
2.14M

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Hermes 3 70B Instruct

Uptime stats for Hermes 3 70B Instruct across all providers

Sample code and API for Hermes 3 70B Instruct

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible completion API to 400+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.