ollama/qwen2.5:32b-instruct-q8_0: benchmark scores, price and ranking
ollama/qwen2.5:32b-instruct-q8_0 from Alibaba ranks #251 of 743 LLMs on the LLMs Tiger aggregate benchmark score (49.6), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Alibaba
- Type
- Open-weight / local model
- Open weights
- Yes
- Aggregate rank
- #251 of 743 (score 49.6)
Across the 1 benchmark where at least ten models are scored, ollama/qwen2.5:32b-instruct-q8_0 is in the top 10% on 0 and in the top half on 1.
ollama/qwen2.5:32b-instruct-q8_0 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| Aider Code Editing | 58.6% | #40 of 92 | Aider Aider Code Editing leaderboard | 2026-10-13 |
About ollama/qwen2.5:32b-instruct-q8_0
ollama/qwen2.5:32b-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 ollama/qwen2.5:32b-instruct-q8_0 stands
On our aggregate score, ollama/qwen2.5:32b-instruct-q8_0 is #251 of 743 ranked models, around the middle of the table. Its score is 49.6; the scale is centred on 50, so it sits 0.4 points below the typical model. That beats 66% of the ranked field. Among the 74 ranked Alibaba models it is #20. The next one up is Qwen3-235B-A22B-Thinking-2507 at 49.7. The next one down is qwen3.5-4b (none) at 49.6.
ollama/qwen2.5:32b-instruct-q8_0, benchmark by benchmark
Aider Code Editing puts ollama/qwen2.5:32b-instruct-q8_0 at 58.6%, #40 of 92. That beats 57% of the models tested, but 25.6 points short of Claude 3.5-Sonnet-20241022 (84.2%). The results either side are Llama-3.1-70B-Instruct (58.6%) and gemini-exp-1121 (57.9%). It covers Aider official benchmark. The board median is 55.6%, so ollama/qwen2.5:32b-instruct-q8_0 is 3.0 points above 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
- #248 GLM-5.3-Flash (max) (49.6)
- #249 grok-4.20-0309-reasoning (49.6)
- #250 Grok-2 (49.6)
- #252 qwen3.5-4b (none) (49.6)
- #253 Qwen3.5 Plus (49.6)
- #254 Mistral-Large-Instruct-2411 (49.6)
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