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.
- Reasoning
Pricing
Auto routing · per 1M tokens- Input
- $0.28
- Output
- $0.42
Specifications
- Context window
- 163.8K
- Max output
- 65.5K
- Parameters
- 685B / 37B
- Total / active
- Avg output (7d)
- 853 tokens
- Longer than 64% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
16.6
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
33.9%
Better than 41% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
72.3%
Better than 68% of models compared
Reasoning
HLE
Humanity's Last Exam
14.9%
Better than 62% of models compared
IFBench
Instruction-following benchmark
54.1%
Better than 65% of models compared
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · 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
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
79.7%
Better than 67% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
72.3%
Better than 68% of models compared
Last updated Oct 3, 2026
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