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: $1.05
- Output: $3.15
Use Cases
- Advanced Reasoning: Ideal for math, logic, and STEM problem-solving.
- Code Generation: Reliable for code synthesis, debugging, and technical documentation.
- Creative Writing: Supports creative storytelling, roleplaying, and subjective responses.
- Enterprise Integration: Suitable for enterprise assistants, chatbots, and workflow automation.
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.