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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 <think>...</think> traces or respond directly, offering flexibility between speed and depth. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config) The model is instruction-tuned with an expanded post-training corpus (~60B tokens) emphasizing reasoning traces, improving performance in math, code, STEM, and logical reasoning, while retaining broad assistant utility. It also supports structured outputs, including JSON mode, schema adherence, function calling, and tool use. Hermes 4 is trained for steerability, lower refusal rates, and alignment toward neutral, user-directed behavior.
Preço/1M
$1.50
521st mais barato
384% acima da mediana
Top 77%
Janela de Contexto
131K
145th maior
Top 63%
Entrada
$1.00
por 1M tokens
Saída
$3.00
por 1M tokens
Combinado
$1.50
por 1M tokens
Mais barato que 23% dos modelos. Preço mediano é $0.31/1M tokens.
Diário
$1.50
Mensal
$45.00
Janela de Contexto
131K
tokens
Maior que 37% dos modelos
Comparação de Janela de Contexto