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DeepSeek V3.2 Exp (Reasoning)

Last updated: Recently

Model Type

Agent

Max Context

131K

Max Output

65,536 tokens

Parameter Scale

-

DeepSeek V3.2 is large language model designed to harmonize high computational efficiency with reasoning and agentic tool use performance. 131,072 token context window, maximum output of 65,536 tokens. Higher uptime with 9 providers. Includes independent benchmarks from Artificial Analysis.

Input Modality

text

Output Modality

text

Inference Speed

-

Latest Release Date

9/29/2025

SDK Ecosystem

-

artificial-analysismanufactureraa-bootstrap
Model Overview Fields

name

DeepSeek V3.2 Exp (Reasoning)

Release date

9/29/2025

Performance

-

model_creator.name

DeepSeek

AA Evaluation Scores

AA Intelligence Index

32.9

AA Coding Index

33.3

AA Math Index

87.7

MMLU Pro

0.85

GPQA

0.797

HLE

0.138

LiveCodeBench

0.789

SciCode

0.377

Math-500

-

AIME

-

AIME 2025

0.876666666666667

IFBench

0.541496598639456

LCR

0.69

TerminalBench Hard

0.310606060606061

TAU2

0.339181286549708

Output Speed (tokens/s)

-

TTFT (s)

-

First Answer Token (s)

-

DeepSeek logo

DeepSeek

DeepSeek V3.2 Exp (Reasoning) logo

DeepSeek V3.2 Exp (Reasoning)

$0.28/M$0.41/M

DeepSeek V3.2 is large language model designed to harmonize high computational efficiency with reasoning and agentic tool use performance. 131,072 token context window, maximum output of 65,536 tokens. Higher uptime with 9 providers. Includes independent benchmarks from Artificial Analysis.

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