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Alibaba released on Jul 30, 2025 Open weights (unrestricted)

Qwen3-30B-A3B-Thinking (Jul 2025)

Qwen3-30B-A3B-Thinking (Jul 2025) (Alibaba) was released on Jul 30, 2025. In the Epoch AI capability ranking (ECI), it ranks #126 out of 267 models, with 139.61. On Arena, which measures human preference in blind comparisons, it has 1,347 ELO points (#218). Against models of the same generation, its best result is on AIME 2024 and 2025 (OTIS): 70.3%, #17 of 53.

#126 of 267 in the ECI ranking
139.61 ECI, the Epoch AI capability index
1,347 Arena ELO, human preference · #218
not measured LiveBench, overall average from 0 to 100
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What the tests say

Where Qwen3-30B-A3B-Thinking (Jul 2025) stands out and where it falls behind, by the numbers

Qwen3-30B-A3B-Thinking (Jul 2025) has published results on 8 tests compiled by Epoch AI. The yardstick here is its generation: its position among the models released between Nov 2, 2024 and Oct 28, 2025 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.

AIME 2024 and 2025 (OTIS)70.3%
#17 of 53 in its generation · #97 of 168 overall

Where it falls behind

Tests where it sits in the bottom half of its own generation.

WeirdML29.8%
#33 of 38 in its generation · record: 93.6% (GPT-6 Astra)
Creative writing (Lech Mazur)7.53
#21 of 32 in its generation · record: 8.60 (GPT-5)
SciCode33.0%
#17 of 26 in its generation · record: 66.9% (Claude Opus 5.5)
Lmca19.53
#23 of 38 in its generation · record: 68.23 (Claude Opus 5.5)
See all 8 tests, one by one
TestScoreIn its generationOverallTest record
GPQA Diamond 70.1% #20 / 53 #101 / 173 96.4% Gemini 4 Argon
AIME 2024 and 2025 (OTIS) 70.3% #17 / 53 #97 / 168 100.0% GPT-5.5
Dtbench 69.3% #21 / 46 #90 / 148 98.9% Claude Opus 5.5
Lmca 19.53 #23 / 38 #92 / 121 68.23 Claude Opus 5.5
CritPt 0.3% #12 / 30 (tied with 4) #84 / 112 32.3% GPT-5.6 Sol
WeirdML 29.8% #33 / 38 #90 / 112 93.6% GPT-6 Astra
SciCode 33.0% #17 / 26 #91 / 104 66.9% Claude Opus 5.5
Creative writing (Lech Mazur) 7.53 #21 / 32 #24 / 38 8.60 GPT-5

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.

Comparison

What to compare Qwen3-30B-A3B-Thinking (Jul 2025) 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.

ModelLabECIELOLiveBenchRelease
GLM-4.6 Z.ai (Zhipu AI) 140.78 1,500 n/a Sep 30, 2025
Grok-3 mini xAI 140.33 1,394 n/a Jun 24, 2025
Kimi K2 Instruct Moonshot 140.13 n/a n/a Jul 12, 2025
gpt-oss-120b OpenAI 140.00 1,385 n/a Aug 5, 2025
DeepSeek-V3.1 DeepSeek 139.91 1,469 n/a Aug 21, 2025
Qwen3-30B-A3B-Thinking (Jul 2025) Alibaba 139.61 1,347 n/a Jul 30, 2025
GPT-5 nano OpenAI 139.33 1,356 n/a Aug 7, 2025
Head to head

Qwen3-30B-A3B-Thinking (Jul 2025) or GPT-5 nano?

GPT-5 nano is the model from another lab closest to Qwen3-30B-A3B-Thinking (Jul 2025) in capability. Across the 5 tests both took, this is the score:

Qwen3-30B-A3B-Thinking (Jul 2025) ahead on 3 GPT-5 nano ahead on 2
Largest differences first
TestQwen3-30B-A3B-Thinking (Jul 2025)GPT-5 nano
Lmca 19.53 7.93
WeirdML 29.8% 38.1%
AIME 2024 and 2025 (OTIS) 70.3% 81.1%
Dtbench 69.3% 62.7%
GPQA Diamond 70.1% 69.4%

Unweighted score: each test counts one point, whether math or coding. The dot marks who did better on each row.

Family

Other models from Alibaba

The models from the same lab closest in time, newest first.

ModelReleaseECIELOLiveBenchAccess
Qwen3-Max-Instruct Sep 24, 2025 142.46 n/a n/a API access
Qwen3-Max Sep 24, 2025 142.34 1,478 n/a API access
Qwen3-30B-A3B-Thinking (Jul 2025) Jul 30, 2025 139.61 1,347 n/a Open weights (unrestricted)
Qwen3-30B-A3B-Instruct (Jul 2025) Jul 29, 2025 137.42 n/a n/a Open weights (unrestricted)
Qwen3-235B-A22B-Thinking-2507 Jul 25, 2025 143.88 1,483 n/a Open weights (unrestricted)
Qwen3-235B-A22B-Thinking (Jul 2025) Jul 25, 2025 143.81 1,384 n/a Open weights (unrestricted)
Qwen3-235B-A22B-Instruct (Jul 2025) Jul 25, 2025 138.92 n/a n/a Open weights (unrestricted)
Qwen3-32B Apr 29, 2025 138.49 1,362 n/a Open weights (unrestricted)
Qwen3-14B Apr 29, 2025 138.22 n/a n/a Open weights (unrestricted)
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Frequently asked questions

What people ask about Qwen3-30B-A3B-Thinking (Jul 2025)

Where does Qwen3-30B-A3B-Thinking (Jul 2025) rank among AI models?

In the ROO3 AI Benchmark, ordered by the Epoch AI ECI, Qwen3-30B-A3B-Thinking (Jul 2025) ranks #126 out of 267 models, with an ECI of 139.61. 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 Qwen3-30B-A3B-Thinking (Jul 2025) better than GPT-5 nano?

Across the 5 tests both models took and Epoch AI compiled, Qwen3-30B-A3B-Thinking (Jul 2025) 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 Qwen3-30B-A3B-Thinking (Jul 2025) 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 Qwen3-30B-A3B-Thinking (Jul 2025) are: AIME 2024 and 2025 (OTIS) (#17 of 53). 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.

Sources

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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