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Specifications
Specifications and pricing as served by Composite
Model ID
mistralai/mistral-saba
Provider
cv11
Context window
32,768 tokens
Accepts
text, file
Returns
text
Input price
$0.250 per million tokens
Output price
$0.750 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 2.2 plan credits per typical call (8k in, 1k out)
Routing endpoints
2 (base plus 1 routing variant)
Use Mistral: Saba in JanitorAI or SillyTavern
Make a Composite API key and type mistralai/mistral-saba 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
mistralai/mistral-saba:cheapThink
cv11
$0.250 per million tokens input · $0.750 per million tokens output
Pricing
$0.250 per million tokens input · $0.750 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 2.2 plan credits, at the provider's own price.
Provider
cv11
Roleplay fit
Mistral models are compact and fast, a good fit when reply speed matters more than maximum context length.
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
Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses while maintaining efficient performance. Trained on curated regional...