Nous: Hermes 3 70B Instruct
Nous: Hermes 3 70B Instruct is an AI model from nousresearch that excels with text inputs, handling extensive context lengths of up to 131,072 tokens and supporting up to 16,384 completion tokens. It currently does not offer tools, reasoning capabilities, or structured output. This model would be a suitable choice for those prioritizing cost-effectiveness, as it comes with a pricing structure of $0.7 per million input and output tokens. With a blended benchmark score of 6.7 across one independent benchmark, it holds its own in performance; however, the lack of detailed coverage data means that some caution is advised when comparing to more extensively tested models.
Benchmark results
Independent, published benchmarks. Blended score 6.7 across 1 benchmark, last refreshed 2026-08-02. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 8.4 |
- Model ID
- nousresearch/hermes-3-llama-3.1-70b
- Vendor
- nousresearch
- Released
- August 2024
- Tokenizer
- Llama3
- Input Modalities
- text
- Output Modalities
- text
- Max Output
- 16,384 tokens
- Tool Calling
- not supported
- Structured Output
- ✓ supported
- Reasoning Mode
- not supported
- Vision
- text only
- Audio
- no
- Moderated
- no
What it costs in practice
Computed from the current $0.70/M input and $0.70/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | $0.02 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.38 |
| A month of a busy support chatbot | 5M in / 2M out | $4.90 |
Similar models
Quick answers
- How much does Nous: Hermes 3 70B Instruct cost?
- $0.70 per million input tokens and $0.70 per million output tokens.
- What is Nous: Hermes 3 70B Instruct's context window?
- 131,072 tokens, roughly 196 pages of text in a single request.
- Does Nous: Hermes 3 70B Instruct support tool calling?
- It supports structured output.
- Can Nous: Hermes 3 70B Instruct process images?
- No, it is text-only on the input side.