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Specifications
Specifications and pricing as served by Composite
Model ID
qwen/qwen3.8-27b-reasoning
Provider
cv11
Context window
1,048,575 tokens
Accepts
text, image, video
Returns
text
Input price
$0.0775 per million tokens
Output price
$0.549 per million tokens
Prompt caching
Supported — cached input is billed at the provider's cache rate, on credits and plans alike
Thinking
Optional - see "Qwen: Qwen3.8 27B (Reasoning) (Reasoning)" in the catalog to turn it on by default
Moderated
No
Cost on a monthly plan
About 0.9 plan credits per typical call (8k in, 1k out)
Routing endpoints
1
Use Qwen: Qwen3.8 27B (Reasoning) in JanitorAI or SillyTavern
Make a Composite API key and type qwen/qwen3.8-27b-reasoning 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.
Pricing
$0.0775 per million tokens input · $0.549 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 0.9 plan credits, at the provider's own price.
Provider
cv11
Roleplay fit
Qwen models pair large context windows with solid multilingual ability, useful for roleplay that switches languages or references long lore documents.
Context behavior
With a 1,048,575-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.
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
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...