Hermes 3 70B Instruct

Nous Research chattool_use

API ID: nousresearch/hermes-3-llama-3.1-70b

Input Price
$0.30
/1M tokens
Output Price
$0.30
/1M tokens

About Hermes 3 70B Instruct

Hermes 3 Llama 3.1 70B is Nous Research's balanced fine-tune, offering enhanced instruction following in a practical deployment package. The model combines Llama 3.1 70B's strong capability with specialized tuning for better conversation and task completion. It excels at roleplay, creative writing, and complex instruction following while maintaining good performance on reasoning and coding. Hermes 3 70B features a 128K context window and supports function calling. The model is deployable on high-end consumer hardware, making it accessible for local use. For developers seeking capable AI with enhanced conversational ability, Hermes 3 70B provides excellent balance of capability and deployability. It's particularly popular for chatbots, creative applications, and AI assistants requiring personality.

๐Ÿ’ฐ
Price Ranking
#691 lowest price among 950 Chat models

Model Specifications

Context Length
131k
Max Output
โ€”
Release Date
2024-08-18
Capabilities
chat tool_use
Input Modalities
text
Output Modalities
text

Best For

  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.23
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$7.20
/month
1000 tickets/day, ~800 tokens each

Nous Research Model Lineup

Compare all models from Nous Research to find the best fit

Model Input Output Context Capabilities
Hermes 3 70B Instruct Current Free Free 131k chat tool_use
Hermes 2 Theta 8B Free Free 16k chat
Hermes 2 Theta 8B Free Free 16k chat
Hermes 2 Mistral 7B DPO Free Free 8k chat
Hermes 2 Mistral 7B DPO Free Free 8k chat
Hermes 2 Mixtral 8x7B SFT Free Free 33k chat

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๐Ÿš€ Quick Start

Get started with Hermes 3 70B Instruct API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="nousresearch/hermes-3-llama-3.1-70b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)