MiscSubjects

DeepSeek: DeepSeek V3.2 Exp

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures.

DeepSeekDeepSeek V3.2 Exp
deepseek/deepseek-v3.2-exp
2025-09-29text->textknows up to 2025-07-31
Design Arena
1145 Elo · #71
3d · 56.4% wins
Input
$0.27
per 1M tokens
Output
$0.41
per 1M tokens
Context
164K
tokens it reads
Max output
147K
tokens it writes
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...
inspect — the catalog entry
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  "name": "DeepSeek: DeepSeek V3.2 Exp",
  "created": 1759150481,
  "description": "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...",
  "context_length": 163840,
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  "supported_voices": null,
  "knowledge_cutoff": "2025-07-31",
  "expiration_date": null,
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        "category": "codecategories",
        "elo": 1170,
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      {
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        "elo": 1028,
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      {
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        "elo": 1177,
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}
openrouter.ai/deepseek/deepseek-v3.2-exp
References (1)
  1. Stored model catalog — Nov 5, 2026
Via
OpenRouter
Id
openrouter/deepseek/deepseek-v3.2-exp
Model id
deepseek/deepseek-v3.2-exp
Name
DeepSeek: DeepSeek V3.2 Exp
Description
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures.
Family
deepseek
Canonical slug
deepseek/deepseek-v3.2-exp
Price in
0.27
Price out
0.41
Price cache read
null
Price cache write
null
Price cache write 1h
null
Price web search
null
Price overrides
[]
Context
163840
Max completion tokens
147456
Modality
text->text
Input modalities
["text"]
Output modalities
["text"]
Tokenizer
DeepSeek
Knowledge cutoff
2025-07-31
Created
1759150481
Moderated
false
Params
["frequency_penalty","include_reasoning","max_tokens","reasoning","response_format","structured_outputs","temperature","tool_choice","tools","top_k","top_p"]
Default parameters
{"temperature":0.6,"top_p":0.95,"frequency_penalty":null}
Tools
true
Reasoning
true
Reasoning efforts
null
Reasoning default effort
null
Reasoning mandatory
false
Reasoning default enabled
null
Vision
false
Expiration date
null

Connected subjects

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Page dataOpen JSON
page.json
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