Nous: Hermes 4 70B
nousresearch/hermes-4-70b
Description
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. 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.
How this model compares
Overall covers the full catalog. By plan covers only models available on that tier (same rules as available models in your list). Position on min–average–max. Prices use the higher of prompt or completion per token, shown per 1M tokens.
Price (per 1M tokens)
Min
Max
This model
336 models in this groupPrice (per 1M tokens)
- Min
- $0.04
- Avg
- $12.385886
- Max
- $750.00
This model: $0.40 / 1M tokens
Context length (tokens)
Min
Max
This model
336 models in this groupContext length (tokens)
- Min
- 4,095 tokens
- Avg
- 382,115.467 tokens
- Max
- 10,000,000 tokens
This model: 131,072 tokens
Capabilities
Text → TextContext: 131,072 tokens
Input:
Text
Output:
Text