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Specifications
Specifications and pricing as served by Composite
Model ID
perceptron/perceptron-mk1
Provider
cv11
Context window
32,768 tokens
Accepts
text, image, video
Returns
text
Input price
$0.188 per million tokens
Output price
$1.88 per million tokens
Prompt caching
Not offered for this model
Moderated
No
Cost on a monthly plan
About 2.7 plan credits per typical call (8k in, 1k out)
Routing endpoints
2 (base plus 1 routing variant)
Use Perceptron: Perceptron Mk1 in JanitorAI or SillyTavern
Make a Composite API key and type perceptron/perceptron-mk1 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.
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.
Routing variants
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
perceptron/perceptron-mk1:cheapThink
cv11
$0.188 per million tokens input · $1.88 per million tokens output
Pricing
$0.188 per million tokens input · $1.88 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 2.7 plan credits, at the provider's own price.
Provider
cv11
Roleplay fit
This model is available on Composite alongside dozens of others from other labs, so it is easy to compare against similar options.
Context behavior
Its 32,768-token context window covers most single-session roleplay threads comfortably. For campaigns that run over many sessions, expect older messages to eventually drop out of context.
Cost for regular use
It is priced low enough for high-volume daily roleplay without the per-message cost adding up quickly.
From the provider
Perceptron Mk1 (Mark One) is Perceptron's highest-quality vision-language model for video and embodied reasoning.** It accepts image and video inputs paired with natural language queries, and produces detailed visual understanding...