Qwen2.5-7B
Qwen2.5-7B (Alibaba) was released on Sep 19, 2024. In the Epoch AI capability ranking (ECI), it ranks #199 out of 267 models, with 118.53.
Where Qwen2.5-7B stands out and where it falls behind, by the numbers
Qwen2.5-7B has published results on 6 tests compiled by Epoch AI. The yardstick here is its generation: its position among the models released between Dec 24, 2023 and Dec 18, 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.
It is not in the top third of its generation on any test with 6 or more models compared.
Where it falls behind
Tests where it sits in the bottom half of its own generation.
See all 6 tests, one by one
| Test | Score | In its generation | Overall | Test record |
|---|---|---|---|---|
| GPQA Diamond | 35.5% | #26 / 35 | #155 / 173 | 96.4% Gemini 4 Argon |
| AIME 2024 and 2025 (OTIS) | 2.5% | #21 / 30 (tied with 1) | #152 / 168 | 100.0% GPT-5.5 |
| Dtbench | 47.7% | #26 / 28 | #142 / 148 | 98.9% Claude Opus 5.5 |
| Lmca | 6.42 | #11 / 14 | #115 / 121 | 68.23 Claude Opus 5.5 |
| MMLU | 72.9% | #28 / 48 | #35 / 92 | 88.1% GPT-4o (May 2024) |
| BALROG | 7.8% | #14 / 15 | #31 / 32 | 68.3% GPT-6 Astra |
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 Qwen2.5-7B 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 |
|---|---|---|---|---|---|
| Gemma 2 9B | Google DeepMind | 119.85 | n/a | n/a | Jun 24, 2024 |
| Command R+ | Cohere | 119.37 | 1,174 | n/a | Aug 30, 2024 |
| Mistral NeMo | Mistral AI | 118.71 | n/a | n/a | Jul 18, 2024 |
| Qwen2.5-7B | Alibaba | 118.53 | n/a | n/a | Sep 19, 2024 |
| Claude 3 Haiku | Anthropic | 118.39 | 1,206 | n/a | Mar 7, 2024 |
| Ministral 3B | Mistral AI | 118.12 | n/a | n/a | Oct 16, 2024 |
| phi-3-mini 3.8B | Microsoft | 117.40 | n/a | n/a | Apr 23, 2024 |
Qwen2.5-7B or Claude 3 Haiku?
Claude 3 Haiku is the model from another lab closest to Qwen2.5-7B in capability. Across the 5 tests both took, this is the score:
| Test | Qwen2.5-7B | Claude 3 Haiku |
|---|---|---|
| AIME 2024 and 2025 (OTIS) | 2.5% | 1.8% |
| Lmca | 6.42 | 8.84 |
| Dtbench | 47.7% | 50.1% |
| GPQA Diamond | 35.5% | 36.3% |
| MMLU | 72.9% | 73.8% |
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 |
|---|---|---|---|---|---|
| Qwen3-8B | Apr 28, 2025 | 136.17 | n/a | n/a | Open weights (unrestricted) |
| QwQ-32B | Mar 5, 2025 | 137.58 | 1,378 | n/a | Open weights (unrestricted) |
| 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) |
Have you used Qwen2.5-7B? Rate it
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What people ask about Qwen2.5-7B
Where does Qwen2.5-7B rank among AI models?
In the ROO3 AI Benchmark, ordered by the Epoch AI ECI, Qwen2.5-7B ranks #199 out of 267 models, with an ECI of 118.53. 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 Qwen2.5-7B better than Claude 3 Haiku?
Across the 5 tests both models took and Epoch AI compiled, Qwen2.5-7B comes out ahead on 1, behind on 4 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.
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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