DeepSeek V3.2
DeepSeek's mid-tier model. Context window: 131K tokens.
Scores by test
Methodology →What you need to know
DeepSeek V3.2 is a high-utility model optimized for complex structural and strategic tasks. It demonstrates peak performance in structured output, agentic planning, and strategic analysis, making it highly reliable for generating precise data formats and executing multi-step reasoning. Its 131K context window is fully leveraged, scoring a 5/5 for long-context retrieval and faithfulness.
At a blended cost of $0.346/MTok, this model provides a significant value proposition for developers requiring high-reasoning capabilities without the premium pricing of top-tier frontier models. It maintains a strong balance between cost and quality, ranking in the top third of 71 evaluated models with an average internal score of 4.31/5.0.
The model has notable deficiencies in safety calibration and basic classification. It also underperforms in tool calling compared to its reasoning capabilities, suggesting it is better suited as a core logic engine than a standalone autonomous agent relying heavily on external API integrations.
Use this model if your workflow requires strict adherence to structured formats, long-document analysis, or complex strategic planning at a low cost. Skip this model if your application requires rigorous safety guardrails or high-precision classification and tool-calling reliability.
Strengths — Top 3
Relative weaknesses — Bottom 3
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