IBM's Granite 4.1 8B is a dense, decoder-only 8-billion-parameter instruction model built for enterprise text workflows, including tool calling, retrieval-augmented generation, code generation with fill-in-the-middle support, summarization, classification, extraction, and multilingual assistance.
Added Apr 29, 2026
Model weightsContext Window
131.1K
Max Output
131.1K
Input Price (Auto)
$0.050/1M
Output Price (Auto)
$0.100/1M
Cache Read (Auto)
$0.050/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
6.4
Coding Index
9.5
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
43.3%
Better than 19% of models compared
HLE
Humanity's Last Exam
3.8%
Better than 11% of models compared
IFBench
Instruction-following benchmark
38.6%
Better than 35% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
27.8%
Better than 33% of models compared
AA-LCR
Long context reasoning evaluation
11.3%
Better than 21% of models compared
CritPt
Research-level physics reasoning
0.0%
Coding
SciCode
Python programming for scientific computing
21.8%
Better than 22% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
0.0%
Better than 5% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
12.3%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
87.1%
Last updated Aug 18, 2026
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