Model index · Nous · updated 2026-08-16
Nous models and prices
4 models, 4 with a published price , 4 with open weights · released 2024-08-16 to 2025-08-26.
Nous does not sell these models — every price here is a host's price
That is the normal shape for a lab that publishes weights instead of selling inference: the model is theirs, the price is somebody else's. It also means there is no single official price to quote, only a market of hosts.
What Nous makes
| Category | Models | Browse |
|---|---|---|
| Text | 4 | all Text models → |
Cheapest Nous models per 1M tokens
Standard on-demand tier, cheapest host per model. Media models are priced in their own unit and listed further down rather than mixed into this table.
| Model | Blended /1M | Cheapest host | Quality | Context |
|---|---|---|---|---|
| Hermes 4 70B | $0.198 | OpenRouter (default route) * | not measured | 131k |
| Hermes 3 70B Instruct | $0.700 | DeepInfra | not measured | 131k |
| Hermes 3 405B Instruct | $1.00 | DeepInfra | 60/100 | 131k |
| Hermes 4 405B | $1.50 | OpenRouter (default route) * | not measured | 131k |
Measured quality across Nous models
Our own probe suite at temperature 0, scored by deterministic checks — no LLM judge and no vendor claim. Measured on request, so most of the catalog is unscored; a blank is not measured, never a low score. Confidence falls when probes could not be read, which happens on models that answer in a hidden reasoning channel.
| Model | Score | Tier | Ranking probes | Confidence |
|---|---|---|---|---|
| Hermes 3 405B Instruct | 60/100 | mid | 3/5 | 1 |
Open weights from Nous
Parameter counts are computed from the published weight files, and licences are what the authors attached — both from the weights registry rather than from any seller. Licence class decides whether you can self-host commercially without signing something.
| Model | Parameters | Licence | Downloads (30d) | Repo |
|---|---|---|---|---|
| Hermes 3 70B Instruct | 70.55B | llama3 | 0.01M | NousResearch/Hermes-3-Llama-3.1-70B |
| Hermes 4 70B | 70.55B | llama3 | 0.00M | NousResearch/Hermes-4-70B |
| Hermes 4 405B | 405.85B | llama3 | 0.00M | NousResearch/Hermes-4-405B |
| Hermes 3 405B Instruct | 405.85B | llama3 | 0.00M | NousResearch/Hermes-3-Llama-3.1-405B |
Who sells Nous models
Offering rows per seller across this vendor's models. A seller appearing many times serves many of the models, not the same one repeatedly.
| Seller | Offerings | |
|---|---|---|
| DeepInfra | 7 | |
| OpenRouter (default route) | 4 | |
| Nebius | 2 |
One API for every Nous model
VernaOne fronts the sellers on this page behind a single interface, so switching model or host is a config change — with automatic fallback if quality or latency regresses.
Try VernaOne free →All 4 Nous models
Newest first, priced or not. A model with no price is a fact about what its sellers publish, not a gap we are hiding.
| Model | Category | Released | Price | Kind | Job |
|---|---|---|---|---|---|
| Hermes 4 70B | Text | 2025-08-26 | $0.198 /1M | reasoning open weights | text generation |
| Hermes 4 405B | Text | 2025-08-26 | $1.50 /1M | reasoning open weights | text generation |
| Hermes 3 70B Instruct | Text | 2024-08-18 | $0.700 /1M | standard open weights | text generation |
| Hermes 3 405B Instruct | Text | 2024-08-16 | $1.00 /1M | standard open weights | text generation |
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Frequently asked
How many models does Nous have?
We track 4 Nous models across 1 category, 4 of them with a published price. The list is rebuilt from provider APIs, the vendor's own docs and the weights registry rather than maintained by hand, so new releases appear without us writing about them.
Can I buy Nous models directly from Nous?
Not for the models on this page. Every price we hold for Nous comes from a third-party host, which is what you would expect from a lab that publishes weights rather than selling inference.
Are Nous models open weights?
4 of 4 have a public weights repository. Licence mix: 4 open weights restricted. Licence class decides whether you can self-host commercially without a separate agreement, so check the model page before planning a deployment.