DeepSeek V3.2 Exp is an experimental V3-series model with improved long-context efficiency compared with earlier V3 releases. FP8.
Context Window
163.8K
Max Output
65.5K
Avg output tokens (7d)
539 tokens
Input Price (Auto)
$0.28/1M
Output Price (Auto)
$0.42/1M
Cache Read (Auto)
$0.14/1M
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
15.1
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
73.8%
Better than 55% of models compared
HLE
Humanity's Last Exam
9.0%
Better than 52% 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
44.7%
Better than 43% of models compared
Coding
Terminal-Bench Hard
Agentic coding and terminal use
25.0%
Better than 66% of models compared
LiveCodeBench
Contamination-free coding benchmark
55.4%
Better than 62% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
57.7%
Better than 55% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
83.6%
Better than 85% of models compared
Last updated Sep 7, 2026
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