Hermes 3Open-source frontier LLM tuned for reasoning, roleplay, and agentic workflows.
Overview
Key features
- Agentic function-calling and tool use
- Structured JSON and schema-guided outputs
- Extended context window
- Roleplay and persona consistency
- Multiple model sizes including 8B, 70B, and 405B
- Compatible with standard inference frameworks
Pricing
- Model
- Freemium
- Category
- Large Language Models (LLMs)
- Rating
- 4.3 / 5 (4)
Use cases
Agentic workflows with tool use
Build autonomous agents that invoke external APIs and tools using Hermes 3's reliable function-calling and structured JSON outputs.
Self-hosted private LLM deployment
Deploy open-weight Hermes 3 on internal infrastructure for teams that need full control over data, fine-tuning, and inference costs.
Long-context reasoning tasks
Process lengthy documents, codebases, or multi-step reasoning chains using the extended context window across 8B, 70B, or 405B sizes.
Persona-driven roleplay applications
Power interactive characters, narrative experiences, or simulation tools that require consistent personas and steerable, minimally-restricted responses.
Pros & Cons
Pros
- Open weights with permissive deployment options
- Strong function calling and structured output support
- Highly steerable with minimal refusals
- Available in multiple model sizes
- Capable of long-context reasoning and roleplay
Cons
- Fewer built-in safety filters than closed models
- Requires technical setup for self-hosting
- Larger variants need substantial GPU resources
- Quality varies between size tiers
Reviews
Average from 4 ratings.
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Compared a few options
Evaluated this against two competitors. Where it wins: roleplay and persona consistency and open weights with permissive deployment options. Where it lags: fewer built-in safety filters than closed models. On balance the feature set — especially multiple model sizes including 8B, 70B, and 405B — justifies the 4 stars for our use case.
Years in this space
I've evaluated a lot of these over the years. What stands out here is compatible with standard inference frameworks — handled better than most — and capable of long-context reasoning and roleplay. Worth the time if this is your use case.
Solid for our team
We rolled this out across the team last quarter and strong function calling and structured output support. Structured JSON and schema-guided outputs fits neatly into how we already work, and agentic function-calling and tool use removed a step we used to do by hand. Larger variants need substantial GPU resources, which is the main caveat, but it has held up under daily use.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on structured JSON and schema-guided outputs, and open weights with permissive deployment options caught me off guard. Requires technical setup for self-hosting is why this isn't a perfect score, still, I'd recommend giving it a real trial.
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