DeepSeek V4 Flash
DeepSeek V4 Flash is the efficiency-optimized variant of the V4 family: a hybrid attention MoE with 284 billion total parameters, of which only 13 billion are active per token. The model operates with a context window of one million tokens, supports three reasoning modes, and is locally deployable as an Open Weights model under the MIT license. The Chinese vendor jurisdiction requires a separate assessment for cloud usage.
- Open Weights
- Server
- OpenRouter
- Text
- Long Context
- Interactive
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
- 72.87
- Routine
- 44.59
- Reasoning
- 28.29
- LLM Judge Avg
- 3.67 / 5
- 100 Coverage
- Avg Task Duration
- 33.01s
- Interactive
- Token Rate
- 29.95tok/s
- Output Rate
- P95 Latency
- 99.56s
- Top 5 %
- Total Tokens
- 87700
- Output Volume
- Cost per 1K
- $0.0002
- USD / 1K Requests
- Benchmark Cost
- $0.01
- Total · 87700 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.