qwen1.5-32b-chat: benchmark scores, price and ranking

qwen1.5-32b-chat from Alibaba ranks #560 of 743 LLMs on the LLMs Tiger aggregate benchmark score (45.7), based on 1 benchmark results captured up to 2026-10-13.

Organisation: Alibaba
Type: Open-weight / local model
Open weights: Yes
Released: 2024-04-03 (source: epoch)
Aggregate rank: #560 of 743 (score 45.7)

Across the 1 benchmark where at least ten models are scored, qwen1.5-32b-chat is in the top 10% on 0 and in the top half on 0.

qwen1.5-32b-chat benchmark results

qwen1.5-32b-chat benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
GPQA Diamond	30.7%	#248 of 275	Epoch AI Benchmarking Hub	2026-10-13

About qwen1.5-32b-chat

qwen1.5-32b-chat is an open-weight model that can run on your own hardware from Alibaba. It was released on 2024-04-03, according to Epoch AI. 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 qwen1.5-32b-chat stands

On our aggregate score, qwen1.5-32b-chat is #560 of 743 ranked models, in the lower half. Its score is 45.7; the scale is centred on 50, so it sits 4.3 points below the typical model. That beats 25% of the ranked field. Among the 74 ranked Alibaba models it is #58. The next one up is Qwen3.6 35B-A3B at 46.2. The next one down is qwen-plus-2025-01-25 at 45.7.

qwen1.5-32b-chat, benchmark by benchmark

GPQA Diamond is a weak spot. qwen1.5-32b-chat scores 30.7%, #248 of 275, behind 90% of the models measured. The leader, GPT-6 Astra (max), reaches 95.8%. It covers expert-level science questions. The board median is 71.7%, so qwen1.5-32b-chat is 41.0 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Release history

The Alibaba model released before it was qwen1.5-72b-chat on 2024-02-04, which scores 45.5. The next one was Qwen2-72B on 2024-06-07, at 50.1.

Reading these numbers

The 1 score on this page comes from 1 source: Epoch AI Benchmarking Hub (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.