Hermes 4 405B
by Nous Research · nousresearch/hermes-4-405b · #209 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:33 AM UTC · refreshed hourly
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...
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Pricing
Input
$1.00
per 1M tokens
Output
$3.00
per 1M tokens
Blended (3:1)
$1.50
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Hermes 4 405B (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $1.50 | $0.105 | — |
| 50% | $1.50 | $0.105 | −0% |
| 90% | $1.50 | $0.105 | −0% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.0014 | $1.40 |
| Document summary | 8,000 | 1,000 | $0.011 | $11.00 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.036 | $36.00 |
| Long-context analysis | 150,000 | 5,000 | $0.165 | $165.00 |
Specs
Context window
131K
tokens
Max output
—
tokens
Input modalities
text
Tokenizer
Other