DeepSeek V3.2
DeepSeek V3.2 is designed as a Frontier model for language, code, and reasoning, using the same MoE architecture as its predecessor with 671 billion total and 37 billion active parameters. The model operates with a 128,000-token context window, is available as an Open Weights variant for local deployment, and is accessible via cloud API at low prices. The Chinese jurisdiction makes an assessment of cloud deployment necessary.
- Open Weights
- Frontier
- OR
- Text
- Real-Time
Sovereign Risk: HIGH DeepSeek is a Chinese company and is subject to China’s National Security Law (NSL), which may allow state access to data and models. The BSI issued a warning on 02/04/2025 against using the DeepSeek cloud service; when running the Open Weights variant exclusively on-premises without any data transfer to China, the cloud-specific risk scenario is reduced.
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 71.93
- Routine
- 43.66
- Reasoning
- 28.27
- LLM Judge Avg
- 3.65 / 5
- 100 Coverage
- Avg Task Duration
- 18.13s
- Real-Time
- Token Rate
- 46.27tok/s
- Output Rate
- P95 Latency
- 51.68s
- Top 5 %
- Total Tokens
- 58700
- Output Volume
- Cost per 1K
- $0.0003
- USD / 1K Requests
- Benchmark Cost
- $0.02
- Total · 58700 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Token efficiency & latency
Consumption per module vs. model median
Token consumption per module
Performance profile
Key metrics – legend
Score
- Total Score
- Overall score derived from Routine and Reasoning scores. Basis for the fleet rank and tier assignment (Gold / Silver / Bronze).
- Routine
- Score for standard tasks: code generation, text transformation, structured outputs. Weighted by task complexity.
- Reasoning
- Score for analytical and logical tasks: multi-step problem solving, mathematical reasoning, structured argumentation.
- Rank
- Position in the fleet comparison, sorted by Total Score. Refers to the snapshot at the time of testing.
LLM Judge
- LLM Judge Ø
- Average quality rating by an independent judge model on a scale of 1–5.
- Coverage
- Share of tasks for which a judge rating is available. 100% means all responses were evaluated.
Latency & speed
- Avg. Task Duration
- Average time per task from the first to the last token of the response, measured across all benchmark tasks.
- Token Rate
- Output speed in tokens per second. Relevant for interactive applications and real-time streaming.
- P95 Latency
- 95th percentile of response times — shows outliers. Lower values mean fewer long wait times in edge cases.
Cost
- Cost per 1K
- API price per 1,000 output tokens in US dollars. Basis for cost calculation in production use.
- Benchmark Cost
- Total cost for the complete benchmark run of this model.