Qwen2.5-Coder-32B: benchmark scores, price and ranking
Qwen2.5-Coder-32B from Alibaba is a recent or sparsely tested model with 1 benchmark result on record; it has not been measured on enough benchmarks shared with other models to receive an aggregate rank. This page lists every score we have, based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Alibaba
- Type
- Open-weight / local model
- Open weights
- Yes
- Released
- 2024-11-12 (source: curated)
- Aggregate rank
- Not ranked yet (too few shared benchmarks)
Across the 1 benchmark where at least ten models are scored, Qwen2.5-Coder-32B is in the top 10% on 0 and in the top half on 0.
Qwen2.5-Coder-32B benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| Epoch ECI | 119 | #129 of 204 | Epoch AI Benchmarking Hub | 2026-10-13 |
About Qwen2.5-Coder-32B
Qwen2.5-Coder-32B is an open-weight model that can run on your own hardware from Alibaba. It was released on 2024-11-12, according to the developer's announcement. 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 Qwen2.5-Coder-32B stands
Qwen2.5-Coder-32B has 1 result so far and shares too few benchmarks with other models to get an aggregate rank. The rank will appear on its own once more scores are published.
Qwen2.5-Coder-32B, benchmark by benchmark
Qwen2.5-Coder-32B lands below the middle on Epoch ECI: 119, #129 of 204, with 63% of the field scoring higher. Qwen 3.8 Max leads at 156; the closest result above is Gemma 2 9B at 120. It covers Epoch Capabilities Index: Epoch's own aggregate of ~40 benchmarks. The board median is 127, so Qwen2.5-Coder-32B is 8 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Release history
The Alibaba model released before it was ollama/qwen2.5-coder:32b on 2024-11-12, which scores 51.9. The next one was qwen-max-2025-01-25 on 2025-01-25, at 46.4.
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.
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