Qwen2.5-3B: benchmark scores, price and ranking

Qwen2.5-3B from Qwen ranks #530 of 743 LLMs on the LLMs Tiger aggregate benchmark score (46.3), based on 1 benchmark results captured up to 2026-10-13.

Organisation: Qwen
Type: Open-weight / local model
Open weights: Yes
Aggregate rank: #530 of 743 (score 46.3)

Across the 1 benchmark where at least ten models are scored, Qwen2.5-3B is in the top 10% on 0 and in the top half on 0.

Qwen2.5-3B benchmark results

Qwen2.5-3B benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
MMLU-Pro	43.7%	#90 of 136	HuggingFace MMLU-Pro leaderboard	2026-10-13

About Qwen2.5-3B

Qwen2.5-3B is an open-weight model that can run on your own hardware from Qwen. 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 Qwen2.5-3B stands

On our aggregate score, Qwen2.5-3B is #530 of 743 ranked models, in the lower half. Its score is 46.3; the scale is centred on 50, so it sits 3.7 points below the typical model. That beats 29% of the ranked field. Among the 23 ranked Qwen models it is #15. The next one up is Qwen1.5-110B at 47.1. The next one down is Qwen1.5-14B-Chat at 45.5.

Qwen2.5-3B, benchmark by benchmark

Qwen2.5-3B lands below the middle on MMLU-Pro: 43.7%, #90 of 136, with 65% of the field scoring higher. Darwin-180B-RSI leads at 88.1%; the closest result above is Phi-3-mini-128k-instruct at 43.9%. It covers 57-subject knowledge + reasoning. The board median is 55.3%, so Qwen2.5-3B is 11.5 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

#527 Phi-3-mini-128k-instruct (46.3)
#528 DeepSeek Chat V2.5 (46.3)
#529 qwen1.5-110b-chat (46.3)
#531 GPT-5.4 mini (xhigh) (46.3)
#532 mistral-small-2409 (46.3)
#533 MAmmoTH2-8B-Plus (46.2)