Nex-N2-Mini
Nex AGI · released Jun 4, 2026 · nex-agi/Nex-N2-Mini
- Type
- Open weightsApache License 2.0
- Params
- 35.1B
- Context
- 262K
about 197K words of context
Our take
Written Aug 3, 2026Nex-N2-Mini is a 35.1-billion-parameter text-and-image model released in June 2026 with a permissive Apache licence. It handles long documents and offers identical low rates across its two tracked hosts, though no independent quality scores are available yet.
Pick this for low-cost hosted inference on text-and-image tasks where a quarter-million-token request limit matters. Use it if you need a permissive licence for local deployment, fine-tuning or redistribution. Skip it if you need measured benchmark scores to validate quality, or if you want verified throughput on every provider you might use.
The case for it
- Identical low rates across both tracked providers, so there is no price arbitrage to hunt.
- Apache 2.0 licence allows commercial use, fine-tuning and redistribution.
- 262,144-token request limit handles document-scale workloads.
The case against it
- No benchmark scores in our data, so there is no measured quality to report.
- Throughput is unverified on OpenRouter; only Nex AGI's own endpoint lists a figure.
- No verified active parameter count, so any efficiency advantage from sparse architecture is unconfirmed.
How good is it?
We hold no score for this model.
We look for every model we track on every board we watch, and none of them has turned up Nex-N2-Mini — so there is no intelligence, coding, agentic or writing score to show you, not a low one, none.
Can you run it yourself?
- Fits in memory
- weights load entirely on the card
- Spills to system RAM
- some weights offload; much slower
- Too large
- will not load even with offload
- est
- size is calculated; the verdict could change by 10%
GeForce RTX 4090 · 24 GB
Loads, but do not expect an assistant. Some of the weights sit in ordinary system memory, which is far slower than the card.
Comfortable fit
GeForce RTX 5090 · 32 GB
Room to spare. 6.6 GB spare means a 10% error in the size would not change the answer.
Apple M3 Pro (18-core GPU) · 36 GB
Room to spare. 2.8 GB spare means a 10% error in the size would not change the answer.
Memory use by level
Against a 24 GB card.
All 3 sizes here are calculated, not measured. We hold no measured file for this model, so each size comes from the parameter count and every verdict above inherits that uncertainty.
Check against your own machine → · All 71 devices, with every size →
Or rent it from someone else
Cheapest of 2 live listings. Picked at the widest standard context we hold, within one quantisation slice, so the numbers beside it are a price one host actually charges.
- per 1M tokens
- $0.025 in / $0.10 out
- Context served
- 262K
- Throughput
- Not measured
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouter | $0.025 / $0.10 | 262K | not measured | Unknown | Unknown | Unknown |
| Nex AGIfp8 | $0.025 / $0.10 | 262K | 105 tok/s | No | Yes30 days | Unknown |
Across the 2 listings we hold: 1 say they do not train on prompts, 0 say they do and 1 do not say. 0 appear in the zero-retention registry we check; the rest are unknown to us rather than confirmed either way.
What each host's API supports
From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.
- ✓
- Supported
- ✗
- Not supported
- Not published
- host gave no parameter list
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenRouter | ✓ | ✓ | ✓ |
| Nex AGIfp8 | ✓ | ✓ | ✓ |
Tool calling: 2 of 2 listings say yes. JSON output: 2 of 2 listings say yes. Strict schema: 2 of 2 listings say yes.
When we formed this view
Dates behind this page
Prices last checked 5d ago
What we do not know about this model yet
- We hold no measured file for it, so all 3 sizes on this page are calculated from the parameter count.
- No board we watch has turned up a score, so we hold no quality figures at all.
- Nothing we hold says whether an endpoint streams, so we do not show it either way.
- 1 of 2 listings do not say whether they train on prompts.
Licence and identifiers
What the licence allowsApache License 2.0, what it allows commercially, and the identifiers you need to pull this model — its Hugging Face repo, our slug and a machine-readable card.
Licence
Apache License 2.0
Fully permissive: commercial use, redistribution, and derivatives allowed. Requires attribution and a copy of the license. Includes an express patent grant.
Identifiers
- Hugging Face
- nex-agi/Nex-N2-Mini
- Architecture
- Mixture of experts
- Modality record
- text+image->text
- Catalogue slug
- nex-agi-nex-n2-mini