Qwen2.5-Coder-14B-Instruct: benchmark scores, price and ranking
Qwen2.5-Coder-14B-Instruct from Alibaba ranks #135 of 743 LLMs on the LLMs Tiger aggregate benchmark score (51.3), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Alibaba
- Type
- Open-weight / local model
- Open weights
- Yes
- Aggregate rank
- #135 of 743 (score 51.3)
Across the 1 benchmark where at least ten models are scored, Qwen2.5-Coder-14B-Instruct is in the top 10% on 0 and in the top half on 1.
Qwen2.5-Coder-14B-Instruct benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| Aider Code Editing | 69.2% | #17 of 92 | Aider Aider Code Editing leaderboard | 2026-10-13 |
About Qwen2.5-Coder-14B-Instruct
Qwen2.5-Coder-14B-Instruct 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 Qwen2.5-Coder-14B-Instruct stands
On our aggregate score, Qwen2.5-Coder-14B-Instruct is #135 of 743 ranked models, in the top quarter. Its score is 51.3; the scale is centred on 50, so it sits 1.3 points above the typical model. That beats 82% of the ranked field. Among the 74 ranked Alibaba models it is #6. The next one up is Qwen3 235B A22B diff, no think, Alibaba API at 51.5. The next one down is Qwen3.5 397B-A17B at 51.1.
Qwen2.5-Coder-14B-Instruct, benchmark by benchmark
Aider Code Editing puts Qwen2.5-Coder-14B-Instruct at 69.2%, #17 of 92. That beats 82% of the models tested, but 15.0 points short of Claude 3.5-Sonnet-20241022 (84.2%). The results either side are gemini-2.0-flash-exp (69.9%) and claude-3-opus-20240229 (68.4%). It covers Aider official benchmark. The board median is 55.6%, so Qwen2.5-Coder-14B-Instruct is 13.6 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
- #132 Claude Opus 4.6 (120K, Medium) (51.3)
- #133 seed-oss-36b-instruct (51.3)
- #134 Darwin-9B-NEG (51.3)
- #136 Grok 4.20 (Reasoning) (51.2)
- #137 openPangu-2.0-Flash (51.2)
- #138 Claude Opus 4.6 (120K, Low) (51.2)
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)
- Qwen3.5 397B-A17B (#146, 51.1)
Compare it on the live leaderboard → · How the aggregate score works