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...
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Among the 392 chat models on CoreAI, Nous: Hermes 4 405B ranks #273 by context window — 131K tokens, roughly 98,304 words or 197 pages of text in a single conversation. On price, it is the #114 cheapest of 183 standard-tier models by input cost. It joined the catalog on 2025-08-26. It supports step-by-step reasoning (thinking mode).
Every model in this table is available on CoreAI — open the web app and run the same prompt through Nous: Hermes 4 405B and Nous: Hermes 3 405B Instruct side by side to judge with your own eyes.
A typical question (about 1,000 tokens in, 500 out) runs $0.00250 on Nous: Hermes 4 405B's raw per-token rates; a heavy session with a 50K-token document costs about $0.065. On CoreAI you don't juggle these numbers — one subscription covers Nous: Hermes 4 405B and 300+ other models under a plan usage limit, with no API keys. See plans.
Nous: Hermes 4 405B handles 131K tokens of context — roughly 98,304 words, or about 197 pages of text in one conversation.
Nous: Hermes 4 405B's underlying rates are $1 per 1M input tokens and $3 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.
No — Nous: Hermes 4 405B is text-only. If you need image understanding, its standard-tier peers with vision are listed in the comparison table above.
Yes. Nous: Hermes 4 405B can work through problems step by step before answering; on CoreAI you can toggle thinking mode per message.
Open the CoreAI web app or the iOS/Android app, pick Nous: Hermes 4 405B in the model selector, and chat — no API key, no per-token billing. One subscription covers Nous: Hermes 4 405B and 300+ other models.
The closest alternatives on CoreAI are Nous: Hermes 3 405B Instruct, Meta: Muse Glimmer 30B, inclusionAI: Ling-2.6-flash — similar tier and capability. The fastest way to choose is running one prompt through them side by side in CoreAI's Compare view.
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