DeepSeek V4 Pro
DeepSeek V4 Pro is the flagship of the V4 line, designed for reasoning, coding, and agentic workflows. The hybrid attention MoE architecture combines 1.6 trillion total parameters with 49 billion active parameters per token and a context window of one million tokens. The model is available as an Open Weights model under the MIT license, though Chinese jurisdiction in cloud deployments requires a separate privacy assessment.
- Open Weights
- Frontier
- OpenRouter
- Text
- Agentic Orchestrator
- Long Context
- Batch
Sovereign Risk: HIGH DeepSeek is a Chinese company subject to China’s National Security Law (NSL), which may allow state access to data and models. On 04.02.2025, Germany’s BSI explicitly warned against using the DeepSeek cloud service: user data is stored on Chinese servers; use for official or sensitive data is not recommended. This warning applies without restriction to cloud API deployments.
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 72.56
- Routine
- 43.86
- Reasoning
- 28.7
- LLM Judge Avg
- 3.55 / 5
- 100 Coverage
- Avg Task Duration
- 52.79s
- Batch
- Token Rate
- 53.32tok/s
- Output Rate
- P95 Latency
- 135.13s
- Top 5 %
- Total Tokens
- 170600
- Output Volume
- Cost per 1K
- $0.0017
- USD / 1K Requests
- Benchmark Cost
- $0.3
- Total · 170600 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 / Standard).
- 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.