Private AI
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.
Context Window
164.0K
Max Output
65.5K
Avg output tokens (7d)
11.7K tokens
Input Price (Auto)
$0.50/1M
Output Price (Auto)
$1.00/1M
Cache Read (Auto)
$0.25/1M
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
21.3
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GPQA Diamond
Graduate-level scientific reasoning
73.8%
Better than 59% of models compared
HLE
Humanity's Last Exam
8.6%
Better than 56% of models compared
IFBench
Instruction-following benchmark
43.1%
Better than 46% 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
43.0%
Better than 51% of models compared
SciCode
Python programming for scientific computing
39.9%
Better than 72% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
25.0%
AIME 2025
American Invitational Mathematics Examination 2025
57.7%
Better than 55% of models compared
MMLU-Pro
Professional and academic subject knowledge
83.6%
Better than 85% of models compared
Last updated Aug 4, 2026
Artificial AnalysisBetter than 66% of models compared
LiveCodeBench
Contamination-free coding benchmark
55.4%
Better than 62% of models compared
