Hermes 4 405b | Nous Research LLM API

Name: Hermes 4 405b API
Brand: nousresearch
Price: 1 USD
Availability: InStock

Penggunaan API

Gunakan contoh kode berikut untuk integrasi dengan API kami:

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="nousresearch/hermes-4-405b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(response.choices[0].message.content)

Pengenalan Model

Nousresearch hermes-4-405b

Hermes 4 is a large-scale reasoning model built on Meta-Llama-3

Hermes 4 is a large-scale reasoning model built on Meta-Llama-3.1-405B and released by Nous Research. It introduces a hybrid reasoning mode, where the model can choose to deliberate internally with <think>...</think> traces or respond directly, offering flexibility between speed and depth. Users can control the reasoning behaviour with the reasoning enabled boolean. Learn more in our docs

The model is instruction-tuned with an expanded post-training corpus (~60B tokens) emphasizing reasoning traces, improving performance in math, code, STEM, and logical reasoning, while retaining broad assistant utility. It also supports structured outputs, including JSON mode, schema adherence, function calling, and tool use. Hermes 4 is trained for steerability, lower refusal rates, and alignment toward neutral, user-directed behavior.

Why It Looks Great

Large Language Model architecture for efficient processing
131072 context window for long document handling
Competitive pricing at $1.1/$3.3 per million tokens

Key Features

Context Window: 131072 tokens
Max Output: N/A tokens
Vision: Supported
Function Calling: Supported

Specifications

Specification	Value
Provider	Nousresearch
Model Type	Large Language Model (LLM)
Architecture	N/A
Context Window	131072 tokens
Max Output	tokens
Input	Text
Output	Text
Vision	Supported
Function Calling	Supported

Pricing

Token Type	Cost per Million Tokens
Input	$1.1
Output	$3.3

How to Use

Write your prompt — describe the task, provide context, and specify desired output format.
Submit — the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: nousresearch/hermes-4-405b

API Usage

Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="nousresearch/hermes-4-405b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(response.choices[0].message.content)

cURL

curl https://llm.wavespeed.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "nousresearch/hermes-4-405b",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: nousresearch/hermes-4-405b
Provider: Nousresearch

Pertanyaan Umum tentang Hermes 4 405b

Berapa biaya Hermes 4 405b melalui API?+

Harga di WaveSpeedAI: $1.00 per juta token input dan $3.00 per juta token output. Prompt caching dan batch processing ditagih terpisah dan mengurangi biaya efektif pada beban kerja yang panjang dan berulang.

Berapa context window Hermes 4 405b?+

Hermes 4 405b mendukung hingga 131K token konteks dengan hingga — token output per permintaan.

Apakah Hermes 4 405b kompatibel dengan OpenAI?+

Ya. WaveSpeedAI menyediakan Hermes 4 405b melalui endpoint yang kompatibel dengan OpenAI di https://llm.wavespeed.ai/v1. Arahkan OpenAI SDK resmi ke base URL ini dengan API key WaveSpeedAI Anda — tanpa perubahan kode lainnya.

Bagaimana memulai dengan Hermes 4 405b?+

Masuk ke WaveSpeedAI, buat API key di Access Keys, lalu kirim permintaan ke https://llm.wavespeed.ai/v1/chat/completions dengan model id seperti ditampilkan di atas. Akun baru menerima kredit gratis untuk menguji Hermes 4 405b.

Harga

Coba model