Private AI
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)
$0.052/1M
Output Price (Auto)
$0.10/1M
Cache Read (Auto)
$0.052/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
6.7
Choose explicit providers for this model. Auto routing remains available as the default option.
Loading provider options…
Coding Index
9.5
GPQA Diamond
Graduate-level scientific reasoning
43.3%
Better than 21% of models compared
HLE
Humanity's Last Exam
3.8%
Better than 9% 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
12.0%
Better than 24% of models compared
SciCode
Python programming for scientific computing
21.8%
Better than 23% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
0.0%
Last updated Jul 13, 2026
Artificial AnalysisBetter than 5% of models compared
