qwen1.5-72b-chat: benchmark scores, price and ranking
qwen1.5-72b-chat from Alibaba ranks #580 of 743 LLMs on the LLMs Tiger aggregate benchmark score (45.5), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Alibaba
- Type
- Open-weight / local model
- Open weights
- Yes
- Released
- 2024-02-04 (source: epoch)
- Aggregate rank
- #580 of 743 (score 45.5)
Across the 1 benchmark where at least ten models are scored, qwen1.5-72b-chat is in the top 10% on 0 and in the top half on 0.
qwen1.5-72b-chat benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| GPQA Diamond | 28.8% | #253 of 275 | Epoch AI Benchmarking Hub | 2026-10-13 |
About qwen1.5-72b-chat
qwen1.5-72b-chat is an open-weight model that can run on your own hardware from Alibaba. It was released on 2024-02-04, 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 qwen1.5-72b-chat stands
On our aggregate score, qwen1.5-72b-chat is #580 of 743 ranked models, in the lower half. Its score is 45.5; the scale is centred on 50, so it sits 4.5 points below the typical model. That beats 22% of the ranked field. Among the 74 ranked Alibaba models it is #62. The next one up is qwen3-coder-next at 45.5. The next one down is Qwen3-Coder-480B-A35B-Instruct at 45.5.
qwen1.5-72b-chat, benchmark by benchmark
GPQA Diamond is a weak spot. qwen1.5-72b-chat scores 28.8%, #253 of 275, behind 92% 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 qwen1.5-72b-chat is 42.9 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Release history
The next one was qwen1.5-32b-chat on 2024-04-03, at 45.7.
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.
Models ranked nearby
- #577 granite-4.1-30b (45.5)
- #578 Ministral-8B-Instruct-2410 (45.5)
- #579 c4ai-command-r-v01 (45.5)
- #581 Qwen3-Coder-480B-A35B-Instruct (45.5)
- #582 ollama/codegeex4 (45.5)
- #583 Claude 3.5 Sonnet (Oct 2024) (45.4)
More from Alibaba
- Qwen 3.6 Max (Preview) (#25, 54.1)
- Qwen3.8 Max (xhigh) (#37, 53.2)
- Qwen3.7 Max (#71, 52.3)
- ollama/qwen2.5-coder:32b (#93, 51.9)
- Qwen3 235B A22B diff, no think, Alibaba API (#122, 51.5)
- Qwen2.5-Coder-14B-Instruct (#135, 51.3)
Compare it on the live leaderboard → · How the aggregate score works