SmolLM2-1.7B: benchmark scores, price and ranking

SmolLM2-1.7B from HuggingFaceTB ranks #693 of 743 LLMs on the LLMs Tiger aggregate benchmark score (42.9), based on 1 benchmark results captured up to 2026-10-13.

Organisation: HuggingFaceTB
Type: Open-weight / local model
Open weights: Yes
Aggregate rank: #693 of 743 (score 42.9)

Across the 1 benchmark where at least ten models are scored, SmolLM2-1.7B is in the top 10% on 0 and in the top half on 0.

SmolLM2-1.7B benchmark results

SmolLM2-1.7B benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
MMLU-Pro	18.3%	#130 of 136	HuggingFace MMLU-Pro leaderboard	2026-10-13

About SmolLM2-1.7B

SmolLM2-1.7B 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 SmolLM2-1.7B stands

On our aggregate score, SmolLM2-1.7B is #693 of 743 ranked models, in the lower half. Its score is 42.9; the scale is centred on 50, so it sits 7.1 points below the typical model. That beats 7% of the ranked field. Among the 3 ranked HuggingFaceTB models it is #1. The next one down is SmolLM2-135M at 42.0.

SmolLM2-1.7B, benchmark by benchmark

MMLU-Pro is a weak spot. SmolLM2-1.7B scores 18.3%, #130 of 136, behind 95% 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 SmolLM2-1.7B is 36.9 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.

Models ranked nearby

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#695 gemini-1.5-flash-002 (42.8)
#696 deepseek-llm-67b-chat (42.8)