SmolLM2-360M: benchmark scores, price and ranking

SmolLM2-360M from HuggingFaceTB ranks #715 of 743 LLMs on the LLMs Tiger aggregate benchmark score (42.0), based on 1 benchmark results captured up to 2026-10-13.

Organisation
HuggingFaceTB
Type
Open-weight / local model
Open weights
Yes
Aggregate rank
#715 of 743 (score 42.0)

Across the 1 benchmark where at least ten models are scored, SmolLM2-360M is in the top 10% on 0 and in the top half on 0.

SmolLM2-360M benchmark results

SmolLM2-360M benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
MMLU-Pro11.4%#135 of 136HuggingFace MMLU-Pro leaderboard2026-10-13

About SmolLM2-360M

SmolLM2-360M is an open-weight model that can run on your own hardware from HuggingFaceTB. 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 SmolLM2-360M stands

On our aggregate score, SmolLM2-360M is #715 of 743 ranked models, in the lower half. Its score is 42.0; the scale is centred on 50, so it sits 8.0 points below the typical model. That beats 4% of the ranked field. Among the 3 ranked HuggingFaceTB models it is #3. The next one up is SmolLM2-135M at 42.0.

SmolLM2-360M, benchmark by benchmark

MMLU-Pro is a weak spot. SmolLM2-360M scores 11.4%, #135 of 136, behind 99% 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 SmolLM2-360M is 43.9 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