R1
DeepSeek's efficiency model. Context window: 64K tokens.
Scores by test
Methodology →What you need to know
R1 is a high-reasoning model optimized for complex strategic analysis and creative problem solving. Its strongest technical differentiators are in high-level logic and multilingual capabilities, scoring 5/5 in strategic analysis, persona consistency, and multilingual tasks. This is further supported by a 93.1% score on MATH Level 5 and a 69.2% score on GPQA Diamond, indicating a strong capacity for advanced mathematical and scientific reasoning.
Despite its reasoning strengths, the model struggles with basic classification and safety calibration, both scoring 2/5. It also shows a significant failure in abstract reasoning, as evidenced by a 1.3% score on ARC-AGI-2. Developers should expect poor performance when using the model for simple labeling tasks or applications requiring strict safety guardrails.
At a blended cost of $2.05/MTok, R1 is priced competitively for a model capable of high-level reasoning. The 164K context window is sufficient for most long-form documents, and the model maintains a 4/5 rating for long context and structured output, making it a viable option for complex data extraction and agentic planning.
Use this model if your application requires deep mathematical reasoning, multilingual support, or complex strategic planning. Skip this model if your primary use case is text classification or if your project requires high safety calibration and strict content filtering.
Strengths — Top 3
Relative weaknesses — Bottom 3
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