[whatmodel.sh](../../README.md) / Granite 4.1 30B
# Granite 4.1 30B
IBM · released 2026-04 · 30B params · apache-2.0
**score 56.9** ±1.0 · #247 of 732 · from 21 benchmark results across 1 source · † no independently run results verified
Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only.
## What it's good at
● marks Granite 4.1 30B among every model on that task or test, worst to best.
task vs the others rank counts tests
agent tasks ▁▁▃▆█●▅▅▄▄▂▁ #160 of 313* 1.5% 1
coding ▁▁▁▃▅▇●▇▅▄▃▁ #217 of 469 29% 7
chat & writing ▁▁▁▃▆▄▆█●▇▇▃ #156 of 402* 2.3% 1
math ▄··········● #2 of 3 23% 5
agent tasks · #160 of 313 · 1.5% of its score
Beats [o1 (2024-12-17)](o1-2024-12-17.md), [o4-mini](o4-mini.md), [o3-mini](o3-mini.md) here, though they rank higher overall. Trails [SmolLM3 3B](smollm3-3b.md), [Jamba 1.5 Mini](jamba-1-5-mini.md), [Jamba 1.5 Large](jamba-1-5-large.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
BFCL v3 (maker) 73.7% ▁▁▁▁▁▃▅█▆▅●▁ beats 164/171 medium · avg 60% 1.5% blunt · at its level · small run
coding · #217 of 469 · 29% of its score
Beats [Qwen3.5 4B](qwen3-5-4b.md), [Qwen3-VL 32B Instruct](qwen3-vl-32b-instruct.md), [Solar Open 100B (102B-A12B)](solar-open-100b.md) here, though they rank higher overall. Trails [QwQ-32B-Preview](qwq-32b-preview.md), [Ministral 3 3B Reasoning 2512](ministral-3-3b-reasoning.md), [s1.1 32B](s1-1-32b.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
HumanEval (maker) 88.4% ▁▁▁▁▂▂▆▆█▅●▁ beats 199/205 easy · avg 77% 7.5% sharp · small run
HumanEval+ (maker) 85.4% ▁·▁▁▂▃▄▄█▅●▃ beats 119/145 easy · avg 73% 6.9% sharp · small run
BigCodeBench (maker) 38.8% ▅····▃·█▃▅●▃ beats 9/12 hard · avg 30% 3.4% at its level · small run
MBPP (maker) 85.5% ▁▁▁▄▅█▆▅▄▁●▁ beats 83/86 easy · avg 74% 3.4% small run
MultiPL-E (maker) 62.3% ▃··▄·▅▅●▄█▃▄ beats 14/31 medium · avg 54% 3.4% at its level · small run
MBPP+ (maker) 73.5% ▁··▁▁▃▄█▆●▁▁ beats 95/120 medium · avg 65% 2.8% at its level · small run
CRUXEval-O (maker) 55.8% ▂▂██▅▂●·▁·▁▁ beats 46/51 medium · avg 46% 1.9% blunt · at its level · small run
chat & writing · #156 of 402 · 2.3% of its score
Beats [INTELLECT-3](intellect-3.md), [MiniMax-M2](minimax-m2.md), [MiniCPM5 2B](minicpm5-2b.md) here, though they rank higher overall. Trails [LFM2.5 1.2B Thinking](lfm2-5-1-2b-thinking.md), [LFM2.5 8B-A1B](lfm2-5-8b-a1b.md), [LFM2.5 2.6B](lfm2-5-2-6b.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
IFEval (aggregation unspecified) … 89.6% ▁▂▄▂▂▄▆█●▅▂▁ beats 114/145 easy · avg 81% 2.3% small run
math · #2 of 3 · 23% of its score
Trails [Granite 4.1 8B](granite-4-1-8b.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
GSM8K (maker) 94.2% ▂▂▂▂▃▄▅▇██▆● beats 193/206 very easy · avg 85% 8.5% sharp · maxed out · small run
Minerva MATH (maker) 81.3% ▁·▃▁▁▂▁█▄▁▃● beats 27/27 easy · avg 66% 5.3% small run
DeepMind Mathematics (maker) 81.9% ▅····▅·█▃▃·● beats 10/10 easy · avg 66% 4.7% small run
GSM-Symbolic (maker) 75.7% ▃▃····▃·●▅█▃ beats 4/10 easy · avg 76% 2.5% small run
MGSM, 5 languages (en, es, fr, ja… 71.1% █·▄▄██···●·▄ beats 9/10 medium · avg 62% 2.1% at its level · small run
other tests (7)
test result vs the others in its run difficulty counts why
GPQA (subset unspecified) (maker) 45.8% ▂▁▂▂▄▃▆●▅█▃▃ beats 49/106 very hard · avg 35% 9.3% sharp · at its level · small run
BIG-Bench Hard (maker) 83.7% ▁▁▁▁▂▄▅▆█▃●▁ beats 142/155 medium · avg 72% 7.7% sharp · small run
MMLU (maker) 80.2% ▁▁▁▁▁▂▂▅██●▄ beats 167/214 medium · avg 67% 6.6% at its level · small run
SimpleQA (maker) 6.8% ▄▄▄●█▆███·▂█ beats 8/32 very hard · avg 4.2% 5.7% too hard for it · small run
MMLU-Pro (maker) 64.1% ▁▁·▁▁▁▃▂●▅█▁ beats 71/188 medium · avg 49% 5.3% at its level · small run
INCLUDE (maker) 67.3% ▂····▂▂▄●▄█▄ beats 16/36 medium · avg 54% 4.6% at its level · small run
MMMLU (maker) 73.7% ▂▁▁▂▃▂▄▄●██▃ beats 22/46 medium · avg 60% 4.1% at its level · small run
source results share of the score
ibm-granite/granite-4.1-8b model card (… 21 100% ▇▇▇▇▇▇▇▇▇▇▇▇
prior: pull toward the middle 0% ▇
weighted average = 56.9
Licences: ibm-granite/granite-4.1-8b model card ([Apache-2.0](../../licenses/ibm-granite--granite-4.1-8b.txt))
## How to run it
### Ollama (recommended)
1. Install Ollama. [Download it (macOS / Windows)](https://ollama.com/download)
```sh
# Linux
curl -fsSL https://ollama.com/install.sh | sh
```
2. Run Granite 4.1 30B (Q4_K_M, needs ~17 GB, from [ollama.com](https://ollama.com/library/granite4.1/tags))
```sh
ollama run granite4.1:30b
```
## Published speed measurements
Reference results for the hardware, engine and settings below. These are not verified speeds of the downloads above or predictions for your machine.
hardware precision speed engine and settings
Apple M5 Max (40-core GPU),… q4_k_m 24.79 tok/s ollama (version not recorded) · l…
Each speed links to its source, which has the full settings.
[interactive version](https://whatmodel.sh/model/granite-4-1-30b) · [JSON](https://whatmodel.sh/api?format=json&all=1)