Perceptron Mk1.5
Perceptron · released Sep 25, 2026
- Type
- Closed
- Input
- $0.15
- Output
- $1.50
- Cached
- None held
List price · per 1M tokens · Perceptron at 37K context · source ↗
Our take
Written Sep 26, 2026Perceptron Mk1.5 is a hosted-only model that takes text, images, audio and video in one request, with a long input capacity and no download to fall back on. Nothing here measures how good its answers are, so treat it as a candidate to trial rather than a proven pick.
Use it when your questions arrive as a mix of writing, pictures, audio or video and you want one model to take all of them, or when a long document would otherwise have to be broken into pieces before sending. Both hosts list the same rate, so the choice between them is not a price decision. Skip it if you need measured quality evidence before committing, or if you need to run the model on your own hardware.
The case for it
- Text, images, audio and video all go into the same request, so a recording or a clip does not have to be transcribed or described first.
- Both listed hosts charge the same rate, so picking between them is not a price decision.
- The request capacity takes a long document without splitting it up first, though recall across the whole input is unverified in our data.
The case against it
- No benchmark scores are supplied, so the only way to judge the answers is a trial on work you can check yourself.
- Neither host has a measured speed, so there is no evidence to pick between them on performance.
- We list no download for it, so hosted use is the only route we can point you to.
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.
Where to rent it
Prices checked between 56 min and 58 min ago — each listing carries its own date.
Perceptron, through OpenRouter
The lab is also the cheapest we hold. The strip above and this offer are the same one, so nothing on this page undercuts Perceptron on 37K of context.
- per 1M tokens
- $0.15 in / $1.50 out
- Context served
- 37K
- Throughput
- ~174 tok/s
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouterOpenRouter's own listing | $0.15 / $1.50checked 58 min ago | 37K | not measured | Unknown | Unknown | Unknown |
| PerceptronThrough OpenRouter | $0.15 / $1.50checked 56 min ago | 37K8K max reply | 174 tok/s | No | No | Confirmed |
OpenRouterAcross the 2 listings we hold: 1 says it does not train on prompts, 0 say they do and 1 does not say. 1 appears 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 | ✓ | ✗ | ✓ |
| PerceptronThrough OpenRouter | ✓ | ✗ | ✓ |
Tool calling: 2 of 2 listings say yes. JSON output: 0 of 2 listings say yes, 2 say no. Strict schema: 2 of 2 listings say yes.
Models people weigh against Perceptron Mk1.5
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
- No independent board has scored it, 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 does not say whether it trains on prompts.
- We hold no cached-input rate for any of its listings.
- We hold no batch or off-peak rate for any of its listings.
Licence and identifiers
What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.
Licence
We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.
Identifiers
- Takes in, gives back
- Text, images, audio and video in, text out
- Catalogue slug
- perceptron-perceptron-mk1-5