DeepSeek: DeepSeek V3.2 Exp is a 163,840-token model served on Composite at $0.338 per million tokens in and $0.512 per million tokens out. Ranked #126 of 179 models by traffic on Composite over the last 30 days, taking 0% of tokens and 0% of requests. Measured on Composite, 100.0% of its last 6 requests on Composite succeeded, the typical first token arrives in 2265 ms, output runs at about 26.8 tokens per second.
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Specifications
Specifications and pricing as served by Composite
Model ID
deepseek/deepseek-v3.2-exp
Provider
cv11
Context window
163,840 tokens
Accepts
text
Returns
text
Input price
$0.338 per million tokens
Output price
$0.512 per million tokens
Prompt caching
Not offered for this model
Moderated
No
Cost on a monthly plan
About 2.6 plan credits per typical call (8k in, 1k out)
Routing endpoints
2 (base plus 1 routing variant)
Use DeepSeek: DeepSeek V3.2 Exp in JanitorAI or SillyTavern
Make a Composite API key and type deepseek/deepseek-v3.2-exp 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.
Across the last 6 requests Composite served for this model.
Time to first token
2265 ms
Median across the same sample.
Output speed
26.8 tok/s
Median generation rate after the first token.
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
deepseek/deepseek-v3.2-exp:cheapThink
cv11
$0.338 per million tokens input · $0.512 per million tokens output
Pricing
$0.338 per million tokens input · $0.512 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 2.6 plan credits, at the provider's own price.
Provider
cv11
Roleplay fit
DeepSeek models are known for strong reasoning and coding ability at aggressive pricing, which makes them a common pick for roleplay accounts that send a high volume of messages.
Context behavior
With a 163,840-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
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...