Qwen2.5-72B: benchmark scores, price and ranking
Qwen2.5-72B from Alibaba ranks #213 of 743 LLMs on the LLMs Tiger aggregate benchmark score (50.1), based on 2 benchmark results captured up to 2026-10-13.
- Organisation
- Alibaba
- Type
- Open-weight / local model
- Open weights
- Yes
- Released
- 2024-09-19 (source: epoch)
- Aggregate rank
- #213 of 743 (score 50.1)
Across the 2 benchmarks where at least ten models are scored, Qwen2.5-72B is in the top 10% on 0 and in the top half on 2.
Qwen2.5-72B benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| MMLU-Pro | 71.6% | #39 of 136 | HuggingFace MMLU-Pro leaderboard | 2026-10-13 |
| Epoch ECI | 129 | #93 of 204 | Epoch AI Benchmarking Hub | 2026-10-13 |
About Qwen2.5-72B
Qwen2.5-72B is an open-weight model that can run on your own hardware from Alibaba. It was released on 2024-09-19, according to Epoch AI. No API price is listed for it yet. We hold 2 benchmark results for it across 2 areas, and none is in the top tenth of its board.
Where Qwen2.5-72B stands
On our aggregate score, Qwen2.5-72B is #213 of 743 ranked models, around the middle of the table. Its score is 50.1; the scale is centred on 50, so it sits 0.1 points above the typical model. That beats 71% of the ranked field. Among the 74 ranked Alibaba models it is #16. The next one up is Qwen 3.6 Plus (2026-04-02) at 50.1. The next one down is Qwen2.5-32B at 49.7.
Qwen2.5-72B, benchmark by benchmark
MMLU-Pro puts Qwen2.5-72B at 71.6%, #39 of 136. That beats 71% of the models tested, but 16.5 points short of Darwin-180B-RSI (88.1%). The results either side are MiniMax-Text-01 (75.7%) and phi-4 (70.4%). It covers 57-subject knowledge + reasoning. The board median is 55.3%, so Qwen2.5-72B is 16.3 points above it. Source: HuggingFace MMLU-Pro leaderboard, captured 2026-10-13.
On Epoch ECI, Qwen2.5-72B reaches 129. It ranks #93 of 204, ahead of 54% of the field, and 27 points behind Qwen 3.8 Max at 156. The results either side are Gemini 1.5 Flash (Sep 2024) (129) and GPT-4o (May 2024) (129). It covers Epoch Capabilities Index: Epoch's own aggregate of ~40 benchmarks. The board median is 127, so Qwen2.5-72B is 2 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Strengths and weaknesses
Qwen2.5-72B has too few results on boards with ten or more models to say where it is strong or weak. Treat any single score as a data point, not a verdict.
Release history
The Alibaba model released before it was ollama/qwen2.5-coder:14b on 2024-09-18, which scores 50.1. The next one was qwen2.5-72b-instruct on 2024-09-19, at 42.2.
Reading these numbers
The 2 scores on this page come from 2 sources: Epoch AI Benchmarking Hub (1), HuggingFace MMLU-Pro leaderboard (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 2 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #210 Claude Code + GLM-5.3-Flash (50.1)
- #211 ollama/qwen2.5-coder:14b (50.1)
- #212 Qwen 3.6 Plus (2026-04-02) (50.1)
- #214 Gemini 3 Deep Think (Preview) ² (50.1)
- #215 glm-4.7-flash (50.1)
- #216 grok-3-beta (50.0)
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