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Granite 4.1 3B

IBM · 2026-04-29 · 3.4B parameters

Granite 4.1 3B is IBM's 3B-class long-context instruct language model, fine-tuned from Granite-4.1-3B-Base and built as a dense decoder-only Transformer with a 131,072-token sequence length. IBM says the Granite 4.1 language-model family was pretrained on approximately 15 trillion tokens and then refined through supervised fine-tuning and multistage reinforcement learning; the 3B model is designed for instruction following, chat, tool calling, code tasks, RAG, and multilingual dialogue, without an extended-reasoning mode. Its weights are released under Apache 2.0.

Benchmark scores

BenchmarkScore
AA-LCR3.0
AA-LCR v1.16.0
AA-Omniscience Index-77.0
Artificial Analysis Agentic Index0.4
Artificial Analysis Coding Index4.7
Artificial Analysis Intelligence Index4.7
Artificial Analysis Omniscience Accuracy9.3
Artificial Analysis Omniscience Hallucination Rate95.1
Artificial Analysis Openness Index61.1
Artificial Analysis Progress Index v1141
Capability112.1
CritPt (avg@5)0.0
GDPval-AA v273.9
GDPval-AA v2 (normalized)0.0
GDPval-AA v2.1-138
GPQA Diamond (Artificial Analysis avg@5)31.4
Humanity's Last Exam (Text-Only)3.4
IFBench (Artificial Analysis avg@5)33.7
SciCode (Artificial Analysis avg@3)11.9
Terminal-Bench 2.11.1
Terminal-Bench Hard2.3
τ²-bench (Telecom)19.6
𝜏³-Banking1.2
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