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DeepSeek: DeepSeek V3.2 Exp (Free)

deepseek/deepseek-v3.2-exp:free

DeepSeek: DeepSeek V3.2 Exp (Free) is a 163,840-token model free on Composite. Ranked #161 of 197 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 4 requests on Composite succeeded, the typical first token arrives in 2313 ms, output runs at about 27.7 tokens per second.

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Specifications

Specifications and pricing as served by Composite
Model IDdeepseek/deepseek-v3.2-exp:free
Providercv11
Context window163,840 tokens
Acceptstext
Returnstext
Input priceIncluded in free allowance
Output priceIncluded in free allowance
Prompt cachingNot offered for this model
ModeratedNo
Cost on a monthly planFree - does not spend plan credits
Routing endpoints1

Traffic rank on Composite

#161 of 197

0% of tokens and 0% of requests over 30 days.

Success rate

100.0%

Across the last 4 requests Composite served for this model.

Time to first token

2313 ms

Median across the same sample.

Output speed

27.7 tok/s

Median generation rate after the first token.

Pricing

Free - 80 requests/day shared across free models; each call counts as 15

Credits pay the provider’s price plus 25%; cache hits cost less.

Monthly plans serve this model without spending any of their included credits.

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 free on Composite, which makes it a reasonable place to test a character card, preset or lorebook before connecting your own provider.

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...

Supplied by cv11, not written by Composite.