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Specifications
Specifications and pricing as served by Composite
Model ID
tencent/hy3-reasoning
Provider
cv11
Context window
262,144 tokens
Accepts
text
Returns
text
Input price
$0.103 per million tokens
Output price
$0.413 per million tokens
Prompt caching
Supported — cached input is billed at the provider's cache rate, on credits and plans alike
Thinking
Optional - see "Tencent: Hy3 (Reasoning) (Reasoning)" in the catalog to turn it on by default
Moderated
No
Cost on a monthly plan
About 1.0 plan credits per typical call (8k in, 1k out)
Routing endpoints
1
Use Tencent: Hy3 (Reasoning) in JanitorAI or SillyTavern
Make a Composite API key and type tencent/hy3-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
$0.103 per million tokens input · $0.413 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 1.0 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
With a 262,144-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
Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort:...