Qwen2-72B
Qwen2-72B (Alibaba) was released on Jun 7, 2024. In the Epoch AI capability ranking (ECI), it ranks #180 out of 267 models, with 125.28. Against models of the same generation, its best result is on MMLU: 82.4%, #4 of 48.
Where Qwen2-72B stands out and where it falls behind, by the numbers
Qwen2-72B has published results on 6 tests compiled by Epoch AI. The yardstick here is its generation: its position among the models released between Sep 11, 2023 and Sep 5, 2024 that took the same test. Against the whole archive, which includes 2023 models, a recent release lands near the top of almost everything, and that says nothing.
Where it stands out
Tests where it sits in the top third of its own generation.
Where it falls behind
Tests where it sits in the bottom half of its own generation.
It is not in the bottom half of its generation on any test with 6 or more models compared.
See all 6 tests, one by one
| Test | Score | In its generation | Overall | Test record |
|---|---|---|---|---|
| GPQA Diamond | 40.8% | #6 / 25 | #145 / 173 | 96.4% Gemini 4 Argon |
| WeirdML | 11.3% | #6 / 13 | #105 / 112 | 93.6% GPT-6 Astra |
| MMLU | 82.4% | #4 / 48 | #11 / 92 | 88.1% GPT-4o (May 2024) |
| MATH level 5 | 39.1% | #5 / 24 | #50 / 73 | 98.1% GPT-5 |
| METR: time horizon | 2.24 | #4 / 4 | #29 / 29 | 719 Claude Opus 4.6 |
| The Agent Company | 4.2% | #4 / 4 | #14 / 14 | 52.4% DeepSeek-V3.2-Exp |
For each test, the model's best effort level counts, as in the ranking. Source of the scores: Epoch AI, under CC BY 4.0.
What to compare Qwen2-72B with
The models from other labs closest in capability and released in the same period, at most two per lab. Click any of them to see its page.
| Model | Lab | ECI | ELO | LiveBench | Release |
|---|---|---|---|---|---|
| Claude 3 Opus | Anthropic | 126.91 | 1,264 | n/a | Feb 29, 2024 |
| GPT-4o mini | OpenAI | 126.58 | n/a | n/a | Jul 18, 2024 |
| Llama 3.1-70B | Meta AI | 125.94 | n/a | n/a | Jul 23, 2024 |
| Llama 3.2 90B | Meta AI | 125.51 | n/a | n/a | Sep 24, 2024 |
| Qwen2-72B | Alibaba | 125.28 | n/a | n/a | Jun 7, 2024 |
| DeepSeek-V2 (MoE-236B, May 2024) | DeepSeek | 124.78 | n/a | n/a | May 7, 2024 |
| Amazon Nova Pro | Amazon | 123.80 | n/a | n/a | Dec 3, 2024 |
Qwen2-72B or Llama 3.1-70B?
Llama 3.1-70B is the model from another lab closest to Qwen2-72B in capability. Across the 5 tests both took, this is the score:
| Test | Qwen2-72B | Llama 3.1-70B |
|---|---|---|
| The Agent Company | 4.2% | 12.8% |
| WeirdML | 11.3% | 9.0% |
| GPQA Diamond | 40.8% | 44.2% |
| MATH level 5 | 39.1% | 36.7% |
| MMLU | 82.4% | 80.1% |
Unweighted score: each test counts one point, whether math or coding. The dot marks who did better on each row.
Other models from Alibaba
The models from the same lab closest in time, newest first.
| Model | Release | ECI | ELO | LiveBench | Access |
|---|---|---|---|---|---|
| Qwen2.5-Max | Jan 25, 2025 | 132.53 | 1,396 | n/a | API access |
| Qwen2.5-72B | Sep 19, 2024 | 129.00 | n/a | n/a | Open weights (unrestricted) |
| Qwen2.5-7B | Sep 19, 2024 | 118.53 | n/a | n/a | Open weights (unrestricted) |
| Qwen2.5-Coder-32B | Sep 18, 2024 | 119.52 | n/a | n/a | Open weights (unrestricted) |
| Qwen2.5-Coder (7B) | Sep 18, 2024 | 113.20 | n/a | n/a | Open weights (unrestricted) |
| Qwen2.5-32B | Sep 17, 2024 | 128.53 | n/a | n/a | Open weights (unrestricted) |
| Qwen2-72B | Jun 7, 2024 | 125.28 | n/a | n/a | Open weights (unrestricted) |
| Qwen-7B | Sep 28, 2023 | 106.91 | n/a | n/a | Open weights (restricted use) |
| Qwen-14B | Sep 24, 2023 | 113.09 | n/a | n/a | Open weights (restricted use) |
Have you used Qwen2-72B? Rate it
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What people ask about Qwen2-72B
Where does Qwen2-72B rank among AI models?
In the ROO3 AI Benchmark, ordered by the Epoch AI ECI, Qwen2-72B ranks #180 out of 267 models, with an ECI of 125.28. The ECI is a composite index that combines several hard benchmarks into a single scale. The position changes when a new model comes out, and the page is refreshed six times a day.
Is Qwen2-72B better than Llama 3.1-70B?
Across the 5 tests both models took and Epoch AI compiled, Qwen2-72B comes out ahead on 3, behind on 2 and tied on 0. It is a test-by-test count with no weighting: a win in math counts the same as a win in coding. To choose between the two, look at the tests that resemble your own use.
What is Qwen2-72B best at?
Against models of the same generation (released up to 9 months before and up to 3 months after it), the best relative results of Qwen2-72B are: MMLU (#4 of 48); MATH level 5 (#5 of 24); GPQA Diamond (#6 of 25). The yardstick is its position among the models of that period that took the same test.
Where do the numbers on this page come from?
From the same three sources as the ranking, all openly licensed: Epoch AI (ECI and individual tests, CC BY 4.0), Arena (human-preference ELO, CC BY 4.0) and LiveBench (overall average, CC BY-SA 4.0). ROO3 does not measure any model. When the page shows a figure published by the maker itself, it appears in the written analysis, labeled as the maker's, and never enters the ranking.
Where each number comes from
Epoch AI, "AI Benchmarking Hub". Published at epoch.ai. Data under the CC BY 4.0 licence, reordered by roo3.co.
The Arena (LMArena) leaderboard, from the public lmarena-ai/leaderboard-dataset on Hugging Face, under the CC BY 4.0 licence. We are not affiliated with the Arena.
LiveBench, by the LiveBench team, published at livebench.ai under the CC BY-SA 4.0 license. The overall average is recomputed by roo3.co with the same formula as the website (average of the categories), and those numbers stay under CC BY-SA 4.0. We are not affiliated with LiveBench.
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