IBM: Granite 4.0 Micro
ibm-granite's efficiency model. Context window: 131K tokens.
Scores by test
Methodology →What you need to know
IBM Granite 4.0 Micro is a low-cost utility model optimized for high-volume processing of long documents. Its primary differentiator is a 131K context window paired with a perfect 5/5 internal score for long context handling, making it capable of analyzing large datasets that would exceed the limits of other micro-tier models.
The model excels at deterministic tasks, specifically structured output and persona consistency, both scoring 4/5. However, it struggles with complex reasoning and reliability; it ranks near the bottom of the overall leaderboard (#129 of 130) due to poor performance in strategic analysis, faithfulness, and tabular data processing. Safety calibration is a significant weakness, scoring 1/5.
At a blended cost of $0.088/MTok, the model is priced for extreme efficiency. While it lacks the intelligence for autonomous decision-making or high-stakes accuracy, the price point is a bargain for simple transformation tasks where the input volume is high but the cognitive load is low.
Use this model if you need a cheap, long-context engine for structured data extraction or persona-driven text generation. Skip this model if your application requires factual precision, complex strategic reasoning, or the handling of tabular data.
Strengths — Top 3
Relative weaknesses — Bottom 3
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