AI Tools Review

Nous: Hermes 4 70B

By Nousresearch

Released: 2025-08-26

API
LLM
RAG
Nousresearch
Paid
New

Nousresearch Hermes 4 70B, developed by Nous Research, features 70B parameters and 131k-token context window. 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. Available at $0.11/1M tokens.

Visit Nous: Hermes 4 70B

AI-Powered

Leverages advanced AI technology to deliver cutting-edge capabilities and results.

Fast & Efficient

Optimized performance ensures quick results without compromising on quality.

Purpose-Built

Specifically designed for llms tasks and workflows.

Nousresearch Model Timeline

Nous: Hermes 4 70BCurrent

131k tokens context

Nous: Hermes 4 405B

131k tokens context

Nous: DeepHermes 3 Mistral 24B Preview

33k tokens context

Nous: Hermes 3 70B Instruct

66k tokens context

Nous: Hermes 3 405B Instruct (free)

131k tokens context

Nous: Hermes 3 405B Instruct

131k tokens context

NousResearch: Hermes 2 Pro - Llama-3 8B

8k tokens context

Specifications

pricing$0.11 / $0.38 (per 1M)
context Window131k tokens

AI Evaluation

4.8
Expert Rating
Text4.9/5
Coding3.5/5

Combines language understanding with search capabilities. Excels at finding and synthesizing information from various sources.

Pros

  • Competitive pricing ($0.11/1M)
  • 131k token context window
  • Large-scale 70B architecture
  • Strong code generation and debugging

Cons

  • May lack creative flair
  • API integration required