Mistral: Mistral Small 3 is a 32,768-token model served on Composite at $0.0625 per million tokens in and $0.100 per million tokens out. Ranked #161 of 179 models by traffic on Composite over the last 30 days, taking 0% of tokens and 0% of requests.
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Specifications
Specifications and pricing as served by Composite
Model ID
mistralai/mistral-small-24b-instruct-2501
Provider
cv11
Context window
32,768 tokens
Accepts
text
Returns
text
Input price
$0.0625 per million tokens
Output price
$0.100 per million tokens
Prompt caching
Not offered for this model
Moderated
No
Cost on a monthly plan
About 0.5 plan credits per typical call (8k in, 1k out)
Routing endpoints
2 (base plus 1 routing variant)
Use Mistral: Mistral Small 3 in JanitorAI or SillyTavern
Make a Composite API key and type mistralai/mistral-small-24b-instruct-2501 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.
$0.0625 per million tokens input · $0.100 per million tokens output
Pricing
$0.0625 per million tokens input · $0.100 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 0.5 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 Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...