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DeepSeek V3.2 Exp Thinking

deepseek-ai/deepseek-v3.2-exp-thinking
Provider logo

DeepSeek V3.2 Exp Thinking

deepseek-ai/deepseek-v3.2-exp-thinking

DeepSeek V3.2 Exp Thinking is an experimental V3-series reasoning model with improved long-context efficiency compared with earlier V3 releases. FP8.

Context Window

163.8K

Max Output

65.5K

Avg output tokens (7d)

954 tokens

77%

Input Price (Auto)

$0.28/1M

Output Price (Auto)

$0.42/1M

Cache Read (Auto)

$0.14/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

19.0

Better than 62% of models compared

Reasoning

GPQA Diamond

Graduate-level scientific reasoning

79.7%

Better than 66% of models compared

HLE

Humanity's Last Exam

14.9%

Better than 66% of models compared

IFBench

Instruction-following benchmark

54.1%

Better than 65% of models compared

T²-Bench Telecom

Conversational AI agents in dual-control scenarios

33.9%

Better than 41% of models compared

AA-LCR

Long context reasoning evaluation

72.3%

Better than 72% of models compared

Coding

Terminal-Bench Hard

Agentic coding and terminal use

31.1%

Better than 73% of models compared

LiveCodeBench

Contamination-free coding benchmark

78.9%

Better than 91% of models compared

Math

AIME 2025

American Invitational Mathematics Examination 2025

87.7%

Better than 85% of models compared

Knowledge

MMLU-Pro

Professional and academic subject knowledge

85.0%

Better than 91% of models compared

Last updated Sep 7, 2026

Artificial Analysis

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