// COMPARISON

Granite-4.0-H-Small

A head-to-head benchmark comparison of Granite-4.0-H-Small across 19 evaluations.

The models

Language Open (Restricted)
Params
32B
Context
β€”
Released
Oct 2025

We’re launching Granite 4, the next generation of IBM language models. Granite 4.0 features a new hybrid Mamba/transformer architecture that greatly reduces mem.

Full Granite-4.0-H-Small specs β†’

Benchmark comparison

Benchmark Granite-4.0-H-Small
code
HumanEval 88%
HumanEval+ 83%
MBPP 84%
MBPP+ 71%
coding
BigCodeBench 46.23
MultiPL-E 57.37
general
AlpacaEval 2 42.48%
ArenaHard 46.48%
IFEval 89.87%
MMLU 78.44%
MMLU-Pro 55.47%
MMMLU 69.69%
knowledge
AGIEval 70.63
INCLUDE 63.97
math
GSM8K 87.27%
MGSM 38.72
reasoning
BIG-Bench Hard 81.62%
GPQA Diamond 40.63%
tool-use
BFCL v3 64.69%

Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.

Frequently asked questions

Which of these models is best for coding? β–Ά

Granite-4.0-H-Small has the strongest result on HumanEval among the models compared here. See the code-category rows in the table for the full picture.

How many benchmarks are compared? β–Ά

This comparison covers 19 benchmarks on which at least one of the selected models has a published score.

Where do the benchmark scores come from? β–Ά

Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.

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