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Hermes 4 405B

Its hybrid reasoning mode allows users to switch between fast, direct responses and deep, step-by-step analysis, making it highly adaptable for diverse use cases.
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Hermes 4 405B

Hermes 4 405B stands out for its seamless integration into a wide range of applications, offering advanced reasoning, structured outputs, and flexible user control.

Hermes 4 405B API

Hermes 4 405B is a state-of-the-art, hybrid reasoning language model developed by Nous Research, built on the foundation of Meta’s Llama-3.1-405B. It is designed for advanced reasoning, structured outputs, and flexible user control, making it a top choice for demanding AI applications in math, code, STEM, and logical reasoning tasks.

Technical Specifications

  • Base Architecture: Built on Llama-3.1-405B, one of the largest open-weight transformer models.
  • Parameter Count: 405 billion parameters.
  • Training Data: Instruction-tuned with ~60 billion tokens of high-quality post-training data, with heavy emphasis on reasoning traces.

Performance Benchmarks

  • Math & Logic: Outperforms previous Hermes models and rivals leading closed-source models in math, code, and logical reasoning tasks.​
  • STEM & Creativity: Excels in scientific, technical, and creative writing, with improved format-faithful outputs.​
  • General Assistant: Maintains broad utility for general-purpose tasks, with high coherence in multi-turn conversations.​
  • Speed vs. Depth: Hybrid reasoning mode allows users to choose between fast direct responses and deeper deliberation with explicit reasoning traces.

Key Features

  • Hybrid Reasoning Mode: Users can toggle between fast, direct responses and detailed, trace-based reasoning using the reasoning boolean flag.​​
  • Steerability: Highly customizable, with improved alignment and lower refusal rates for user-directed tasks.​
  • Large Context: Handles long documents and complex multi-step tasks.​

Hermes 4 405B API Pricing

  • Input: $0.41145
  • Output: $1.6458

Code Sample

Comparison with Other Models

vs Llama-3.1 Instruct: Hermes 4 405B offers superior reasoning, structured outputs, and steerability, with a larger post-training corpus and hybrid reasoning mode.​

vs GPT-4.1 nano: Hermes 4 405B matches or exceeds GPT-4.1 nano in intelligence and reasoning, with a much larger context window and lower refusal rates.​

vs Hermes 3: Hermes 4 features a 50x larger training dataset, improved reasoning traces, and enhanced schema adherence and function calling.​

vs Claude 3: Hermes 4 405B excels in math, code, and structured outputs, with a focus on user control and neutrality.

Hermes 4 405B API

Hermes 4 405B is a state-of-the-art, hybrid reasoning language model developed by Nous Research, built on the foundation of Meta’s Llama-3.1-405B. It is designed for advanced reasoning, structured outputs, and flexible user control, making it a top choice for demanding AI applications in math, code, STEM, and logical reasoning tasks.

Technical Specifications

  • Base Architecture: Built on Llama-3.1-405B, one of the largest open-weight transformer models.
  • Parameter Count: 405 billion parameters.
  • Training Data: Instruction-tuned with ~60 billion tokens of high-quality post-training data, with heavy emphasis on reasoning traces.

Performance Benchmarks

  • Math & Logic: Outperforms previous Hermes models and rivals leading closed-source models in math, code, and logical reasoning tasks.​
  • STEM & Creativity: Excels in scientific, technical, and creative writing, with improved format-faithful outputs.​
  • General Assistant: Maintains broad utility for general-purpose tasks, with high coherence in multi-turn conversations.​
  • Speed vs. Depth: Hybrid reasoning mode allows users to choose between fast direct responses and deeper deliberation with explicit reasoning traces.

Key Features

  • Hybrid Reasoning Mode: Users can toggle between fast, direct responses and detailed, trace-based reasoning using the reasoning boolean flag.​​
  • Steerability: Highly customizable, with improved alignment and lower refusal rates for user-directed tasks.​
  • Large Context: Handles long documents and complex multi-step tasks.​

Hermes 4 405B API Pricing

  • Input: $0.41145
  • Output: $1.6458

Code Sample

Comparison with Other Models

vs Llama-3.1 Instruct: Hermes 4 405B offers superior reasoning, structured outputs, and steerability, with a larger post-training corpus and hybrid reasoning mode.​

vs GPT-4.1 nano: Hermes 4 405B matches or exceeds GPT-4.1 nano in intelligence and reasoning, with a much larger context window and lower refusal rates.​

vs Hermes 3: Hermes 4 features a 50x larger training dataset, improved reasoning traces, and enhanced schema adherence and function calling.​

vs Claude 3: Hermes 4 405B excels in math, code, and structured outputs, with a focus on user control and neutrality.

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