Deepseek V3.2 Exp Thinking, Deepseek's latest model offering far better performance especially on longer contexts than its predecessors. Current flagship model by Deepseek. FP8.
Context Window
163.8K
Max Output
65.5K
Avg output tokens (7d)
865 tokens
Input Price (Auto)
$0.28/1M
Output Price (Auto)
$0.42/1M
Cache Read (Auto)
$0.14/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
25.9
Coding Index
44.2
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
79.7%
Better than 70% of models compared
HLE
Humanity's Last Exam
14.9%
Better than 69% 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 42% of models compared
AA-LCR
Long context reasoning evaluation
72.3%
Better than 84% of models compared
GDPval-AA
Economically valuable tasks
18.3%
CritPt
Research-level physics reasoning
2.9%
Coding
SciCode
Python programming for scientific computing
37.7%
Better than 62% of models compared
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
AA-Omniscience Accuracy
Proportion of correctly answered questions
33.0%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
82.7%
Last updated Aug 16, 2026
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