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Hermes 4 70B is a hybrid reasoning model from Nous Research, built on Meta-Llama-3.1-70B. It introduces the same hybrid mode as the larger 405B release, allowing the model to either respond directly or generate explicit <think>...</think> reasoning traces before answering. 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) This 70B variant is trained with the expanded post-training corpus (~60B tokens) emphasizing verified reasoning data, leading to improvements in mathematics, coding, STEM, logic, and structured outputs while maintaining general assistant performance. It supports JSON mode, schema adherence, function calling, and tool use, and is designed for greater steerability with reduced refusal rates.
Price/1M
$0.20
294th cheapest
36% below median
Top 43%
Context Window
131K
145th largest
Top 63%
Input
$0.13
per 1M tokens
Output
$0.40
per 1M tokens
Blended
$0.20
per 1M tokens
Cheaper than 57% of models. Median price is $0.31/1M tokens.
Daily
$0.20
Monthly
$5.93
Context Window
131K
tokens
Larger than 37% of models
Context Window Comparison