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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-11 · Source: nousresearch_reference_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
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...
hermes-4-405b is a Text model from Nousresearch (US). HotON.ai tracks it at $1.00 per 1M input tokens and $3.00 per 1M output tokens, with a 131K-token context window. Its composite efficiency score is 88/100 at an estimated $0.004 per successful task.
hermes-4-405b is tracked at $1.00 per 1M input tokens and $3.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $2.50 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
hermes-4-405b supports up to a 131K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, hermes-4-405b is cheaper than 28% of models on input price and ranks #345 of 535 by overall efficiency.
Yes — minimax-m2.7 is a lower-cost option at $1.20 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — hermes-4-405b (Nousresearch): $1.00/1M input, $3.00/1M output, as of 2026-05-11. https://hoton.ai/en/models/nousresearch-hermes-4-405bPricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.