Nousresearch model
Hermes 4 70B API cost calculator
Hermes 4 70B costs $0.13 per 1M input tokens and $0.40 per 1M output tokens on the Nousresearch API, with a 131K-token context window. A typical request (2K input, 500 output tokens) costs $0.0005 — about $13.80/month at 1,000 requests per day. Use the calculator below to model your exact workload.
Find me a cheaper modelWhat real workloads cost on Hermes 4 70B
| Workload | Tokens (in / out) | Per request | Per 1K requests |
|---|---|---|---|
| Chatbot message | 500 / 300 | $0.0002 | $0.18 |
| RAG query with context | 4,000 / 500 | $0.0007 | $0.72 |
| Document summarization | 20,000 / 1,000 | $0.0030 | $3.00 |
| Agent coding session | 100,000 / 5,000 | $0.01 | $15.00 |
Hermes 4 70B vs other Nousresearch models
| Model | Input /1M | Output /1M | Context |
|---|---|---|---|
| Hermes 4 70B | $0.13 | $0.40 | 131K |
| Hermes 4 405B | $1 | $3 | 131K |
| Hermes 3 70B Instruct | $0.70 | $0.70 | 131K |
| Hermes 3 405B Instruct | $1 | $1 | 131K |
Frequently asked questions
How much does Hermes 4 70B cost per 1M tokens?
According to current pricing data, Hermes 4 70B costs $0.13 per 1M input tokens and $0.40 per 1M output tokens. Processing 1M tokens each way costs $0.53.
What does a typical API request to Hermes 4 70B cost?
A typical request with 2,000 input tokens and 500 output tokens costs $0.0005. At 1,000 requests per day that is $0.46 daily, or about $13.80 per month.
What is Hermes 4 70B's context window?
Hermes 4 70B supports a 131K-token context window (131,072 tokens).
Does Hermes 4 70B support prompt caching?
No cache-read pricing is published for Hermes 4 70B, so every input token is billed at the full $0.13 per 1M rate.
What is a cheaper alternative to Hermes 4 70B?
Ling-2.6-flash from Inclusionai is currently the cheapest comparable option at $0.01 per 1M input tokens versus $0.13 for Hermes 4 70B — roughly 13x cheaper on input.
Compare all current prices on the live model pricing dashboard, see Hermes 4 70B vs Ling-2.6-flash pricing, or run Hermes 4 70B head-to-head against other models in the side-by-side comparison playground.
Pricing data via the OpenRouter models API.