qwen2:72b-instruct-q8_0: benchmark scores, price and ranking
qwen2:72b-instruct-q8_0 from Alibaba ranks #376 of 743 LLMs on the LLMs Tiger aggregate benchmark score (48.2), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Alibaba
- Type
- Open-weight / local model
- Open weights
- Yes
- Aggregate rank
- #376 of 743 (score 48.2)
Across the 1 benchmark where at least ten models are scored, qwen2:72b-instruct-q8_0 is in the top 10% on 0 and in the top half on 0.
qwen2:72b-instruct-q8_0 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| Aider Code Editing | 49.6% | #60 of 92 | Aider Aider Code Editing leaderboard | 2026-10-13 |
About qwen2:72b-instruct-q8_0
qwen2:72b-instruct-q8_0 is an open-weight model that can run on your own hardware from Alibaba. 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 qwen2:72b-instruct-q8_0 stands
On our aggregate score, qwen2:72b-instruct-q8_0 is #376 of 743 ranked models, around the middle of the table. Its score is 48.2; the scale is centred on 50, so it sits 1.8 points below the typical model. That beats 49% of the ranked field. Among the 74 ranked Alibaba models it is #37. The next one up is qwen3.5-35b-a3b at 48.2. The next one down is Qwen3-Max-Instruct at 48.2.
qwen2:72b-instruct-q8_0, benchmark by benchmark
qwen2:72b-instruct-q8_0 lands below the middle on Aider Code Editing: 49.6%, #60 of 92, with 64% of the field scoring higher. Claude 3.5-Sonnet-20241022 leads at 84.2%; the closest result above is gpt-3.5-turbo-0613 at 50.4%. It covers Aider official benchmark. The board median is 55.6%, so qwen2:72b-instruct-q8_0 is 6.0 points below it. Source: Aider Aider Code Editing leaderboard, captured 2026-10-13.
Reading these numbers
The 1 score on this page comes from 1 source: Aider Aider Code Editing leaderboard (1). 1 of them come from an official leaderboard and 0 from datasets or third-party runs. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #373 DeepSeek-R1 (May 2025) (48.2)
- #374 Qwen2.5 (7B + 72B) (48.2)
- #375 claude-3-7-sonnet-20250219 (48.2)
- #377 Qwen3-Max-Instruct (48.2)
- #378 internlm3-8b-instruct (48.2)
- #379 kimi-k2.6-thinking (48.2)
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