Upstage: Solar Pro 4
upstage's efficiency model. Context window: 524K tokens.
Scores by test
Methodology →What you need to know
Solar Pro 4 is a high-capacity, low-cost model designed for precision and long-form processing. Its primary differentiator is the combination of a 524K context window and a highly competitive price point, with a blended cost of $0.098/MTok. This makes it a budget-friendly option for developers who need to process massive datasets without the typical premium associated with large context windows.
The model excels in technical reliability, achieving perfect scores in structured output, faithfulness, and strategic analysis. These metrics indicate it is highly capable of adhering to schemas and maintaining factual accuracy over long sequences. It also performs strongly in multilingual tasks and persona consistency, making it suitable for complex, multi-step agentic workflows.
There are notable trade-offs in utility and calibration. It struggles with basic classification and constrained rewriting, and it has a significant safety calibration issue. Specifically, the model frequently over-refuses benign requests, which may introduce friction into user-facing applications.
Use this model if you require a low-cost solution for large-context analysis, structured data extraction, or multilingual strategic planning. Skip this model if your application requires high-precision classification or if you cannot tolerate frequent false-positive refusals of legitimate prompts.
Strengths — Top 3
Relative weaknesses — Bottom 3
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