Nous: Hermes 3 405B Instruct

Nous Hermes 3 405B Instruct is a text generation model from Nous Research, released on 16 August 2024. It is a generalist language model built as an upgrade over Hermes 2, with the provider describing improvements in agentic capabilities, roleplaying, reasoning, multi-turn conversation and long context coherence. The model id on api14 is nousresearch/hermes-3-llama-3.1-405b.

The model accepts text input and returns text output, so it fits standard chat and completion style workloads. It has a context window of 131,072 tokens and a maximum output of 16,384 tokens, which means you can send very long prompts, documents or conversation histories and still leave room for a substantial reply. Its knowledge cutoff is 31 December 2023, so anything after that date is outside what it learned during training.

Because of the long context and the emphasis on multi-turn conversation and agentic behaviour, the model suits tasks such as long document question answering, summarising or extracting from large inputs, maintaining coherent dialogue across many turns, and building tool-using or multi-step agents. The roleplaying and reasoning improvements also make it a reasonable choice for character driven chat, structured brainstorming and tasks where the model must follow a persona or a detailed instruction set over a long session.

You call it through api14's OpenAI-compatible API using the model id nousresearch/hermes-3-llama-3.1-405b, which means existing OpenAI SDKs and clients work with only the base URL and key changed. The request parameters it supports are frequency_penalty, logit_bias, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, top_k and top_p. The presence of response_format and structured_outputs is useful when you need JSON or schema-shaped output rather than free text, and seed helps when you want more reproducible generations.

Keep the output ceiling in mind: 16,384 tokens is generous for most chat replies but not for generating very long documents in one call, so plan chunking if you need more. The knowledge cutoff of 31 December 2023 also means time sensitive questions need retrieval or fresh context supplied in the prompt. If your workload is purely text and fits these bounds, this model is a straightforward option; if you need image or audio input, you would need a different model, since this one only handles text.