DeepSeek V3.1
DeepSeek's efficiency model. Context window: 164K tokens.
Scores by test
Methodology →What you need to know
DeepSeek V3.1 is a high-precision model optimized for structural integrity and factual reliability. It achieves perfect scores in faithfulness, structured output, and tabular data handling, making it an ideal candidate for data extraction and rigorous formatting tasks. Its ability to maintain persona consistency and handle creative problem solving further distinguishes it as a versatile tool for complex reasoning.
Despite its technical strengths, the model has a critical failure in safety calibration, scoring 1/5. This indicates a high risk of generating unfiltered or unsafe content, requiring developers to implement robust external guardrails. Performance is mediocre in classification and tool calling, suggesting it is less effective as a standalone agent or a routing model.
At a blended cost of $0.600/MTok, the model is priced competitively for its capabilities. While it ranks 46th overall among 71 models, its specific strengths in long context and structured data provide high value for specialized workflows that prioritize output accuracy over general-purpose safety or tool integration.
Use this model if your project requires strict adherence to schemas, high faithfulness in long-context retrieval, or complex tabular data processing. Skip this model if your application requires built-in safety filters, heavy reliance on tool calling, or high-accuracy classification.
Strengths — Top 3
Relative weaknesses — Bottom 3
Similar models