Context Window
131,072
Tokens
Model Cost Profile
Nous: Hermes 4 70B
Developer: nousresearch
Pricing updated Mar 11, 2026
Input rank: #104Output rank: #104
Nous: Hermes 4 70B, developed by nousresearch, offers a substantial context window of 131,072 tokens, making it ideal for applications requiring extensive document analysis or multi-turn conversations. Teams leveraging this API model can expect an input cost of $0.13 per million tokens and an output cost of $0.40 per million tokens, which can significantly impact budget considerations for high-volume usage scenarios. This model is particularly suited for industries such as legal, healthcare, and customer support, where detailed context and nuanced understanding are essential.
📋 Structured Output🧠 Reasoning
Input Price / 1M
$0.1300
Prompt tokens
Output Price / 1M
$0.4000
Completion tokens
Intelligence (MMLU)
Benchmark Pending
Massive Multitask Language Understanding
Side-by-Side Pricing Table
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.1300 |
| Output (Completion) | $0.4000 |
Price History
Nous: Hermes 4 70B Pricing Trend
Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 — Mar 11
Current Input / 1M
$0.1300
Current Output / 1M
$0.4000
Cost Calculator
Estimate monthly spend for Nous: Hermes 4 70B based on your workload.
01.0B
0500M
Estimated Monthly Cost
$8.05
25M input + 12M output tokens
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FAQ
Common pricing and benchmark questions for Nous: Hermes 4 70B.
How much does Nous: Hermes 4 70B cost per 1M input tokens?
Nous: Hermes 4 70B input pricing is $0.1300 per 1M tokens based on the latest synced provider data.
How much does Nous: Hermes 4 70B cost per 1M output tokens?
Nous: Hermes 4 70B output pricing is $0.4000 per 1M tokens based on the latest synced provider data.
What context window does Nous: Hermes 4 70B support?
Nous: Hermes 4 70B supports a context window of 131,072 tokens.
How can I compare Nous: Hermes 4 70B with cheaper alternatives?
Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.