Schematron V2 Small
inference-net · released Sep 12, 2026 · inference-net/schematron-v2-llama-3.2-3b
- Type
- Open weights
- Params
- Not published
- Context
- 128K
about 96K words of context
Our take
Written Sep 12, 2026Schematron V2 Small is a downloadable text-only model from inference-net with a 128,000-token request limit. It is positioned as a budget option with identical rates across both tracked providers, though no quality scores or licence terms are verified.
Pick this when price is the primary concern and you need long-context text work without multimodal input. Use it if you want to avoid shopping between providers for a better rate. Skip it if you need measured quality data, verified licence terms for commercial use, or any image, audio or video input.
The case for it
- Identical pricing across both providers eliminates shopping friction.
- Published throughput of 85 tokens per second on the inference-net endpoint.
The case against it
- No measured quality or capability scores available in our data.
- Licence terms unknown despite open-weights claim — commercial use, redistribution and modification rights are unverified.
- Throughput unverified for the OpenRouter offer.
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 2 hours ago — each listing carries its own date.
- per 1M tokens
- $0.050 in / $0.23 out
- Context served
- 128K
- Throughput
- ~6 tok/s
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouterOpenRouter's own listing | $0.050 / $0.23checked 2 hours ago | 128K | not measured | Unknown | Unknown | Unknown |
| InferenceNetThrough OpenRouter | $0.050 / $0.23checked 2 hours ago | 128K4K max reply | 6 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 | ✗ | ✓ | ✓ |
| InferenceNetThrough OpenRouter | ✗ | ✓ | ✓ |
Tool calling: 0 of 2 listings say yes, 2 say no. JSON output: 2 of 2 listings say yes. Strict schema: 2 of 2 listings say yes.
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 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 yet.
Identifiers
- Hugging Face
- inference-net/schematron-v2-llama-3.2-3b
- Takes in, gives back
- Text in, text out
- Catalogue slug
- inference-net-schematron-v2-small