Qwen1.5-110B: benchmark scores, price and ranking

Qwen1.5-110B from Qwen ranks #463 of 743 LLMs on the LLMs Tiger aggregate benchmark score (47.1), based on 1 benchmark results captured up to 2026-10-13.

Organisation: Qwen
Type: Open-weight / local model
Open weights: Yes
Aggregate rank: #463 of 743 (score 47.1)

Across the 1 benchmark where at least ten models are scored, Qwen1.5-110B is in the top 10% on 0 and in the top half on 0.

Qwen1.5-110B benchmark results

Qwen1.5-110B benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
MMLU-Pro	49.9%	#77 of 136	HuggingFace MMLU-Pro leaderboard	2026-10-13

About Qwen1.5-110B

Qwen1.5-110B 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 Qwen1.5-110B stands

On our aggregate score, Qwen1.5-110B is #463 of 743 ranked models, in the lower half. Its score is 47.1; the scale is centred on 50, so it sits 2.9 points below the typical model. That beats 38% of the ranked field. Among the 23 ranked Qwen models it is #14. The next one up is Qwen2.5-VL-72B-Instruct at 47.6. The next one down is Qwen2.5-3B at 46.3.

Qwen1.5-110B, benchmark by benchmark

Qwen1.5-110B lands below the middle on MMLU-Pro: 49.9%, #77 of 136, with 56% of the field scoring higher. Darwin-180B-RSI leads at 88.1%; the closest result above is MAmmoTH2-8x7B-Plus at 50.4%. It covers 57-subject knowledge + reasoning. The board median is 55.3%, so Qwen1.5-110B is 5.3 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

#460 qwen3.7-max-20260517 (47.2)
#461 granite-4.1-8b (47.1)
#462 GPT-4o mini (47.1)
#464 gpt-5.5-xhigh (codex-harness) (47.1)
#465 AI21-Jamba-Large-1.5 (47.1)
#466 GPT-5.4 nano (xhigh) (47.1)