models/ibm-granite/granite-4-2-8b
I
ibm-granite·active

IBM: Granite 4.2 8B

ibm-granite's efficiency model. Context window: 131K tokens.

Overall score
3.46
/5.00 · ranked #150
Input
$0.100
per 1M tokens
Output
$0.150
per 1M tokens
Context
131K
tokens
Blended
$0.137
3:1 out:in ratio

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Scores by test

Methodology →
Structured Output
5.0
Strategic Analysis
4.0
Constrained Rewriting
Creative Problem Solving
4.0
Tool Calling
4.0
Faithfulness
5.0
Classification
4.0
Long Context
5.0
Safety Calibration
1.0
Persona Consistency
2.0
Agentic Planning
5.0
Multilingual
4.0
Tabular Data
2.0

What you need to know

IBM Granite 4.2 8B is optimized for high-precision technical tasks, specifically those requiring strict adherence to formats and source material. It achieves perfect scores in structured output, faithfulness, and long context handling, making it a reliable choice for RAG pipelines and automated workflows where hallucination must be minimized.

The model is priced aggressively low at a blended cost of $0.137/MTok, offering high utility for its price tier. While it excels at agentic planning and tool calling, it struggles with persona consistency and tabular data processing. Developers should also note that the model frequently over-refuses benign requests, indicating a lack of precision in its safety calibration.

Use this model for high-volume automation, long-document analysis, and structured data extraction where cost efficiency is a priority. Skip this model if your application requires a consistent persona, complex table manipulation, or a seamless user experience without over-refusal of legitimate prompts.

Strengths — Top 3

Structured Output5.0/5.0
Faithfulness5.0/5.0
Long Context5.0/5.0

Relative weaknesses — Bottom 3

Safety Calibration1.0/5.0
Persona Consistency2.0/5.0
Tabular Data2.0/5.0

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