granite-3.0-8b-base: benchmark scores, price and ranking

granite-3.0-8b-base from ibm-granite ranks #629 of 743 LLMs on the LLMs Tiger aggregate benchmark score (44.6), based on 1 benchmark results captured up to 2026-10-13.

Organisation
ibm-granite
Type
Open-weight / local model
Open weights
Yes
Aggregate rank
#629 of 743 (score 44.6)

Across the 1 benchmark where at least ten models are scored, granite-3.0-8b-base is in the top 10% on 0 and in the top half on 0.

granite-3.0-8b-base benchmark results

granite-3.0-8b-base benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
MMLU-Pro31.0%#117 of 136HuggingFace MMLU-Pro leaderboard2026-10-13

About granite-3.0-8b-base

granite-3.0-8b-base is an open-weight model that can run on your own hardware from ibm-granite. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where granite-3.0-8b-base stands

On our aggregate score, granite-3.0-8b-base is #629 of 743 ranked models, in the lower half. Its score is 44.6; the scale is centred on 50, so it sits 5.4 points below the typical model. That beats 15% of the ranked field. Among the 9 ranked ibm-granite models it is #4. The next one up is granite-3.1-8b-base at 44.9. The next one down is granite-4.1-3b at 44.4.

granite-3.0-8b-base, benchmark by benchmark

MMLU-Pro is a weak spot. granite-3.0-8b-base scores 31.0%, #117 of 136, behind 85% of the models measured. The leader, Darwin-180B-RSI, reaches 88.1%. It covers 57-subject knowledge + reasoning. The board median is 55.3%, so granite-3.0-8b-base is 24.2 points below it. Source: HuggingFace MMLU-Pro leaderboard, captured 2026-10-13.

Reading these numbers

The 1 score on this page comes from 1 source: HuggingFace MMLU-Pro leaderboard (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.

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Compare it on the live leaderboard → · How the aggregate score works