Nex-N2.5-Mini
Nex AGI · released Sep 8, 2026 · nex-agi/Nex-N2.5-mini
- Type
- Open weightsApache License 2.0
- Params
- 35.1B
- Context
- 262K
active per word not recorded by us · about 197K words of context
Our take
Written Sep 29, 2026Nex-N2.5-Mini is a downloadable model that takes text and images and returns written answers, with nothing here measuring how well it does that. Treat it as a cheap trial rather than a proven pick, and check the terms before you build on the download.
Use it to try a text-and-image model on your own examples before committing, either through a host or by running it yourself. Both listed offers sit at the same low rate, so a trial on real work costs little. Skip it if you need measured coding, reasoning or vision evidence, or a licence you can read before building on it.
The case for it
- Both listed offers carry the same low rate, so a trial on your own examples costs little and neither host undercuts the other.
- Text and images go into the same request, so a screenshot does not have to be described in words first.
- The request capacity holds a long report or a stack of documents beside the question, though reliable recall across all of it is unverified in our data.
The case against it
- No benchmark scores are supplied, so nothing here says how well it codes, reasons or reads images; it needs a trial on work you can judge yourself.
- No licence is supplied, so what you may do with the download is unverified in our data.
- Neither host carries a measured speed, so price alone cannot pick between them.
How good is it?
We hold no score for this model.
So there is no figure here for everyday use, coding, agent work or writing. That is a gap in our data, not a low score.
Can you run it yourself?
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.22.1 GB of weights, plus 2 GB for the software that runs it and the smallest conversation it can hold, comes to 24.1 GB against the 22.8 GB this 24 GB device leaves free.
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.
What is quantisation? →This model on every device we track71 devicesThe Q4 build most people download, on each device: what the weights come to, how much context the memory leaves, and whether it runs. Smallest device that runs it first.
Check against your own machine → · Where to rent it hosted →
Or rent it from someone else
Prices checked 2 hours ago — each listing carries its own date.
- 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 |
|---|---|---|---|---|---|---|
| OpenRouterOpenRouter's own listing | $0.025 / $0.10checked 2 hours ago | 262K | not measured | Unknown | Unknown | Unknown |
| Nex AGIbf16Through OpenRouter | $0.025 / $0.10checked 2 hours ago | 262K236K max reply | 112 tok/s | No | Yes30 days | Unknown |
Across the 2 listings we hold: 1 says it does not train on prompts, 0 say they do and 1 does not say. 0 appear in the zero-retention registry we check; the rest are unknown to us.
What each host's API supports
From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenRouterOpenRouter's own listing | ✗ | ✗ | ✓ |
| Nex AGIbf16Through OpenRouter | ✗ | ✗ | ✓ |
Tool calling: 0 of 2 listings say yes, 2 say no. JSON output: 0 of 2 listings say yes, 2 say no. Strict schema: 2 of 2 listings say yes.
Models people weigh against Nex-N2.5-Mini
When we formed this view
Recent changes
What moved
first indexed by our pipelineEach date is the day we first saw the change, or the day the maker announced it.
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 independent board has scored it, so we hold no quality figures at all.
- We do not hold the active parameter count for it, so how much of it runs on any one token is unknown to us.
- Nothing we hold says whether an endpoint streams, so we do not show it either way.
- 1 of 2 listings does not say whether it trains on prompts.
- We hold no batch or off-peak rate for any of its listings.
- We hold a decode speed for it, but no prompt-processing (prefill) figure, so how long the input side of a job takes is unknown to us.
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-N2.5-mini
- Architecture
- Mixture of experts
- Takes in, gives back
- Text and images in, text out
- Catalogue slug
- nex-agi-nex-n2-5-mini