DeepSeek V3.2 TEE

DeepSeek V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. Running inside a TEE (Trusted Execution Environment), with provider attestation support.

Pricing

Auto routing · per 1M tokens

Input: $0.50
Output: $1.00

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Specifications

Context window: 164K
Max output: 65.5K
Parameters: 685B / 37B; Total / active
Avg output (7d): 546 tokens; Longer than 49% of models

Benchmarks

Artificial Analysis

LMArena

Vectara

Sourced from Artificial Analysis.

Intelligence Index

16.0

Better than 62% of models compared

Agentic work

T²-Bench Telecom (legacy)

Legacy fallback · Conversational AI agents in dual-control scenarios

78.9%

Better than 69% of models compared

Document reasoning

AA-LCR v1.1

Long context reasoning with updated grading

45.7%

Better than 41% of models compared

Reasoning

HLE

Humanity's Last Exam

11.2%

Better than 54% of models compared

IFBench

Instruction-following benchmark

49.0%

Better than 58% of models compared

Coding

Terminal-Bench Hard (legacy)

Legacy fallback · Agentic coding and terminal use

32.6%

Better than 76% of models compared

LiveCodeBench

Contamination-free coding benchmark

59.3%

Better than 66% of models compared

Math

AIME 2025

American Invitational Mathematics Examination 2025

59.0%

Better than 56% of models compared

Knowledge

MMLU-Pro

Professional and academic subject knowledge

83.7%

Better than 86% of models compared

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

75.1%

Better than 57% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

45.7%

Better than 40% of models compared

Last updated Oct 14, 2026