Qwen2.5-14B: benchmark scores, price and ranking

Qwen2.5-14B from Qwen ranks #302 of 743 LLMs on the LLMs Tiger aggregate benchmark score (49.0), based on 1 benchmark results captured up to 2026-10-13.

Organisation: Qwen
Type: Open-weight / local model
Open weights: Yes
Aggregate rank: #302 of 743 (score 49.0)

Across the 1 benchmark where at least ten models are scored, Qwen2.5-14B is in the top 10% on 0 and in the top half on 1.

Qwen2.5-14B benchmark results

Qwen2.5-14B benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
MMLU-Pro	63.7%	#55 of 136	HuggingFace MMLU-Pro leaderboard	2026-10-13

About Qwen2.5-14B

Qwen2.5-14B 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 Qwen2.5-14B stands

On our aggregate score, Qwen2.5-14B is #302 of 743 ranked models, around the middle of the table. Its score is 49.0; the scale is centred on 50, so it sits 1.0 points below the typical model. That beats 59% of the ranked field. Among the 23 ranked Qwen models it is #7. The next one up is TTS(Bo8) at 49.1. The next one down is Qwen3-30B-A3B-Base at 48.7.

Qwen2.5-14B, benchmark by benchmark

MMLU-Pro puts Qwen2.5-14B at 63.7%, #55 of 136. That beats 60% of the models tested, but 24.4 points short of Darwin-180B-RSI (88.1%). The results either side are granite-4.1-30b (64.1%) and Qwen3-30B-A3B-Base (61.7%). It covers 57-subject knowledge + reasoning. The board median is 55.3%, so Qwen2.5-14B is 8.4 points above 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

#299 parasail-qwen3-235b-a22b-instruct-2507 (49.0)
#300 Grok-2-mini (49.0)
#301 Llama-3.1-Nemotron-70B-Instruct-HF (49.0)
#303 grok-4.20-beta1 (49.0)
#304 qwen3.7-max-preview (49.0)
#305 internlm2_5-7b-chat (48.9)