AI model
inference-net/schematron-v2-turbo
Inference.net: Schematron V2 Turbo is a 128,000-token model served on Composite at $0.0375 per million tokens in and $0.188 per million tokens out.
Try in Playground| Model ID | inference-net/schematron-v2-turbo |
|---|---|
| Provider | cv11 |
| Context window | 128,000 tokens |
| Accepts | text |
| Returns | text |
| Input price | $0.0375 per million tokens |
| Output price | $0.188 per million tokens |
| Prompt caching | Supported — cached input is billed at the provider's cache rate, on credits and plans alike |
| Moderated | No |
| Cost on a monthly plan | About 0.4 plan credits per typical call (8k in, 1k out) |
| Routing endpoints | 2 (base plus 1 routing variant) |
Make a Composite API key and type inference-net/schematron-v2-turbo as the model name. JanitorAI takes the full URL https://composite.lucidity.sh/v1/chat/completions; SillyTavern, ChubAI, Agnai and RisuAI take https://composite.lucidity.sh/v1. It runs on credits, a plan, or your own provider key.
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This model has not carried enough traffic on Composite yet to publish a success rate, a latency figure or a traffic rank. The numbers appear here once it has.
The same model behind 1 alternative endpoint. Call the id directly to pin a route; the base id above picks for you.
| Route | Model ID | Provider | Price |
|---|---|---|---|
| cheapThink | inference-net/schematron-v2-turbo:cheapThink |
cv11 | $0.0375 per million tokens input · $0.188 per million tokens output |
$0.0375 per million tokens input · $0.188 per million tokens output
Credits pay the provider’s price plus 25%; cache hits cost less.
On a monthly plan, a typical call (8k tokens in, 1k out) uses about 0.4 plan credits, at the provider's own price.
cv11
This model is available on Composite alongside dozens of others from other labs, so it is easy to compare against similar options.
With a 128,000-token context window, it can hold a long-running roleplay or a full lorebook in memory without losing earlier plot details, so it suits multi-session campaigns and character cards with heavy backstory.
It is priced low enough for high-volume daily roleplay without the per-message cost adding up quickly.
Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must be supplied through a JSON schema in response_format rather...
Supplied by cv11, not written by Composite.
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