models/ibm-granite/granite-4-1-8b
I
ibm-granite·active

IBM: Granite 4.1 8B

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

Overall score
3.54
/5.00 · ranked #109
Input
$0.050
per 1M tokens
Output
$0.100
per 1M tokens
Context
131K
tokens
Blended
$0.087
3:1 out:in ratio

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Scores by test

Methodology →
Structured Output
4.0
Strategic Analysis
4.0
Constrained Rewriting
4.0
Creative Problem Solving
3.0
Tool Calling
4.0
Faithfulness
4.0
Classification
4.0
Long Context
5.0
Safety Calibration
1.0
Persona Consistency
3.0
Agentic Planning
4.0
Multilingual
4.0
Tabular Data
2.0

What you need to know

IBM Granite 4.1 8B is optimized for high-volume technical tasks requiring large context windows. With a 131K token capacity and a perfect 5/5 internal score for long context, it is designed for processing extensive documents or large codebases without losing coherence.

The model excels in deterministic and structured workflows. It scores 4/5 across structured output, tool calling, agentic planning, and classification, making it reliable for API integrations and data extraction. However, it struggles with nuanced behavioral constraints, evidenced by a 1/5 in safety calibration and mediocre scores in persona consistency and creative problem solving.

At a blended cost of $0.087/MTok, this model is priced for high-efficiency utility. While its overall rank is low (#89 of 105), its strength in structured tasks relative to its price point makes it a cost-effective engine for backend automation rather than a general-purpose assistant.

Use this model if you need a low-cost solution for long-context analysis, structured data generation, or agentic tool calling. Skip this model if your application requires strict safety guardrails, creative writing, or a consistent brand persona.

Strengths — Top 3

Long Context5.0/5.0
Structured Output4.0/5.0
Strategic Analysis4.0/5.0

Relative weaknesses — Bottom 3

Safety Calibration1.0/5.0
Tabular Data2.0/5.0
Creative Problem Solving3.0/5.0

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