Inference.Net
No resultsEnough results for an index.Schematron V2 Small
Schematron V2 Small is a model from Inference.Net. It has no scored result.
IndexAll categories, out of 100.UnrankedMedian 51.0
CoverageIndex weight that has results.0%
SpeedOutput tokens per second.245/sMedian 67/s
First tokenSeconds to the first output token.0.3 sMedian 1.3 s
Input / 1MUS dollars per 1M input tokens.$0.05Median $0.60
Output / 1MUS dollars per 1M output tokens.$0.23Median $2.55
ContextMaximum tokens in one request.128KMedian 262K
EloLMArena rating and rank.—Median 1422
Details
From OpenRouter- API IDThe model ID on OpenRouter.
inference-net/schematron-v2-small- Max outputMaximum output tokens per request.
- 8K
- Knowledge cutoffLast date of training data.
- —
- ToolsTool calls on OpenRouter.
- No
- JSON outputOutput follows a given JSON schema.
- Yes
- Cache read / 1MUS dollars per 1M cached tokens.
- $0.05
- WeightsLink to the published weights.
- —
- RetiresDate OpenRouter removes the model.
- —
Where to run
APIs that serve this model.ProviderTypeMaker, cloud, host or router.InputOutputContext
US dollars per 1M tokens, list price. From models.dev (opens in a new tab) (MIT).
Capabilities
Index per category, out of 100.Results
0 countedThis model has no scored result.
Sources
BenchLMCC BY-NC 4.0OpenRouterTerms restrict reusemodels.devMITHistory
5 releases23 Oct 202612 Nov 2026
Questions
- How much does Schematron V2 Small cost?
- $0.05 per 1M input tokens, $0.23 per 1M output tokens.
- How fast is Schematron V2 Small?
- 245 output tokens per second, 0.3 s to the first token.
- What is the context window of Schematron V2 Small?
- 128K tokens.
- When was Schematron V2 Small released?
- September 2026.