Nous Research: Hermes 4 14B
nousresearch/hermes-4-14b
Access Hermes 4 14B from Nous Research using Puter.js AI API.
Get Started// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "nousresearch/hermes-4-14b"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "nousresearch/hermes-4-14b"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://api.puter.com/puterai/openai/v1/",
api_key="YOUR_PUTER_AUTH_TOKEN",
)
response = client.chat.completions.create(
model="nousresearch/hermes-4-14b",
messages=[
{"role": "user", "content": "Explain quantum computing in simple terms"}
],
)
print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
-d '{
"model": "nousresearch/hermes-4-14b",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Hermes 4 14B is the smallest model in Nous Research's Hermes 4 family, a fine-tune of Qwen3-14B trained on a post-training corpus of roughly 60B tokens built around verified reasoning traces.
It is a hybrid reasoning model. It answers directly by default and can be switched into a reasoning mode that works through explicit think segments before the final answer, with training aimed at keeping those reasoning traces from running overlong.
It is trained for function calling and tool use within a single assistant turn, and for structured outputs, including emitting schema-valid JSON and repairing malformed objects. In line with the Hermes series' focus on steerability and neutral alignment, Nous Research reports state-of-the-art results for Hermes 4 on its RefusalBench test, meaning fewer refused requests than comparable models.
Context Window 41K
tokens
Max Output 41K
tokens
Input Cost $0.01
per million tokens
Output Cost $0.05
per million tokens
Tool Use Yes
Release Date Aug 30, 2025
Model Playground
Try Hermes 4 14B instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
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Hermes 4 405B is a frontier hybrid-mode reasoning model based on Llama-3.1-405B, trained on a 60B token dataset with verified reasoning traces. It features toggleable deep reasoning via think tags, massive improvements in math, code, STEM, and logic, and achieves state-of-the-art on RefusalBench for reduced censorship.
ChatHermes 4 70B
Hermes 4 70B is a hybrid reasoning model based on Llama-3.1-70B with toggleable deep thinking mode using think tags. It offers major improvements in math, code, STEM, logic, and creative writing while supporting JSON schema adherence, function calling, and reduced refusal rates compared to other models.
ChatHermes 3 70B Instruct
Hermes 3 Llama 3.1 70B is a 70B parameter fine-tune of Llama-3.1-70B offering advanced agentic capabilities, improved roleplaying, reasoning, and multi-turn conversation. It provides reliable function calling and structured outputs while being competitive with Llama-3.1 Instruct models at a more accessible size.
Frequently Asked Questions
You can access Hermes 4 14B by Nous Research through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Hermes 4 14B to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0.01 |
| Output | $0.05 |
Hermes 4 14B was created by Nous Research and released on Aug 30, 2025.
Hermes 4 14B supports a context window of 41K tokens. For reference, that is roughly equivalent to 82 pages of text.
Hermes 4 14B can generate up to 41K tokens in a single response.
Yes, Hermes 4 14B supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the Hermes 4 14B API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Get started with Puter.js
Add Hermes 4 14B to your app without worrying about API keys or setup.
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