DeepSeek V3.1 Terminus
DeepSeek's efficiency model. Context window: 164K tokens.
Scores by test
Methodology →What you need to know
DeepSeek V3.1 Terminus is specialized for high-complexity analytical tasks and large-scale data processing. It achieves perfect scores in long context handling, strategic analysis, structured output, multilingual capabilities, and tabular data. These metrics indicate the model is highly effective at extracting insights from massive documents and formatting that data into rigid structures without losing coherence.
The model is priced competitively, with a blended cost of $0.818 per million tokens. Given its high performance in strategic and structured tasks, it offers significant value for developers who need enterprise-grade analysis without the premium pricing of top-tier frontier models. However, its overall rank of 105 out of 130 suggests that while it excels in specific niches, its general-purpose utility is limited.
Reliability is a primary concern for this model. It scores poorly in safety calibration and shows mediocre performance in tool calling and faithfulness. This means the model is prone to hallucinations and lacks the guardrails necessary for user-facing applications where safety and factual precision are critical.
Use this model if your workflow requires processing 164K context windows, complex strategic planning, or heavy tabular data manipulation. Skip this model if you are building a customer-facing agent, require high factual accuracy, or need robust safety filtering.
Strengths — Top 3
Relative weaknesses — Bottom 3
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