Qwen3.7-Max
Qwen3.7-Max (Alibaba) was released on May 19, 2026. In the Epoch AI capability ranking (ECI), it ranks #42 out of 267 models, with 153.83. On Arena, which measures human preference in blind comparisons, it has 1,530 ELO points (#19). On LiveBench, the overall average is 73.1, #39 out of 58 scored models. Against models of the same generation, its best result is on SimpleQA Verified: 55.8%, #12 of 53.
Where Qwen3.7-Max stands out and where it falls behind, by the numbers
Qwen3.7-Max has published results on 18 tests compiled by Epoch AI. The yardstick here is its generation: its position among the models released between Aug 22, 2025 and Aug 17, 2026 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.
See all 18 tests, one by one
| Test | Score | In its generation | Overall | Test record |
|---|---|---|---|---|
| GPQA Diamond | 90.9% | #23 / 71 (tied with 3) | #30 / 173 | 96.4% Gemini 4 Argon |
| AIME 2024 and 2025 (OTIS) | 95.6% | #21 / 71 (tied with 3) | #37 / 168 | 100.0% GPT-5.5 |
| Dtbench | 92.3% | #21 / 67 | #28 / 148 | 98.9% Claude Opus 5.5 |
| Lmca | 44.02 | #28 / 65 | #37 / 121 | 68.23 Claude Opus 5.5 |
| CritPt | 13.4% | #24 / 64 | #41 / 112 | 32.3% GPT-5.6 Sol |
| SciCode | 49.5% | #32 / 60 | #51 / 104 | 66.9% Claude Opus 5.5 |
| Frontiermath Tiers 1 3 V2 | 64.6% | #21 / 54 (tied with 1) | #35 / 86 | 93.7% GPT-6 Astra |
| ALE-Bench | 1,189 | #19 / 56 | #28 / 82 | 2,951 GPT-6 Astra |
| WebDev Arena | 1,517 | #22 / 64 | #37 / 82 | 1,820 Claude Opus 5.5 |
| SimpleQA Verified | 55.8% | #12 / 53 | #21 / 81 | 76.0% Gemini 4 Argon |
| Chess puzzles | 26.0% | #32 / 52 | #48 / 80 | 76.0% GPT-6 Astra |
| Game puzzles | 32.0% | #16 / 48 (tied with 1) | #26 / 77 | 84.0% GPT-6 Astra |
| ProofBench | 26.0% | #27 / 51 (tied with 1) | #44 / 74 | 100.0% Claude Fable 5.1 |
| SimpleBench | 70.4% | #11 / 41 | #11 / 74 | 81.9% Claude Fable 5 |
| Frontiermath Tier 4 V2 | 34.1% | #15 / 43 | #26 / 67 | 100.0% GPT-6.1 Sol |
| SWE-bench Verified | 77.3% | #7 / 23 | #7 / 32 | 83.5% Claude Opus 4.7 |
| Ebr Bench | 9.5% | #13 / 17 (tied with 1) | #22 / 27 | 76.2% GPT-6 Astra |
| Gbaeval | 0.4% | #19 / 22 | #19 / 22 | 79.6% Claude Opus 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.
What to compare Qwen3.7-Max 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 |
|---|---|---|---|---|---|
| Grok 4.7 | xAI | 154.37 | 1,453 | 77.4 | Sep 21, 2026 |
| Gemini 3.6 Flash | Google DeepMind | 154.24 | 1,530 | 73.6 | Jul 21, 2026 |
| Muse Spark 1.1 | Meta AI | 154.00 | 1,516 | 75.3 | Jul 9, 2026 |
| Grok 4.5 | xAI | 153.93 | 1,495 | 75.8 | Jul 8, 2026 |
| Qwen3.7-Max | Alibaba | 153.83 | 1,530 | 73.1 | May 19, 2026 |
| GPT-5.2 | OpenAI | 153.46 | 1,454 | 74.6 | Dec 11, 2025 |
| GPT-5.2 Codex | OpenAI | no ECI | n/a | 74.0 | Dec 18, 2025 |
Qwen3.7-Max or Grok 4.5?
Grok 4.5 is the model from another lab closest to Qwen3.7-Max in capability. Across the 15 tests both took, this is the score:
| Test | Qwen3.7-Max | Grok 4.5 |
|---|---|---|
| Gbaeval | 0.4% | 65.4% |
| Frontiermath Tier 4 V2 | 34.1% | 24.4% |
| Chess puzzles | 26.0% | 35.0% |
| ProofBench | 26.0% | 31.0% |
| SimpleQA Verified | 55.8% | 48.3% |
| CritPt | 13.4% | 15.4% |
| Frontiermath Tiers 1 3 V2 | 64.6% | 57.2% |
| SciCode | 49.5% | 55.0% |
| ALE-Bench | 1,189 | 1,309 |
| Dtbench | 92.3% | 96.5% |
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 |
|---|---|---|---|---|---|
| Qwen 3.8 Max | Aug 2, 2026 | 156.88 | 1,536 | 78.5 | API access |
| Qwen3.7 Flash | Jul 27, 2026 | 144.64 | n/a | n/a | API access |
| Qwen3.7-Plus | Jun 2, 2026 | 147.30 | 1,510 | n/a | API access |
| Qwen3.7-Max | May 19, 2026 | 153.83 | 1,530 | 73.1 | API access |
| Qwen 3.6 Flash | Apr 27, 2026 | 143.05 | n/a | n/a | Unknown |
| Qwen3.6 27B | Apr 22, 2026 | 146.48 | n/a | 64.0 | Open weights (unrestricted) |
| Qwen 3.6 Max (Preview) | Apr 20, 2026 | 149.24 | 1,488 | n/a | Unknown |
| Qwen 3.6 35B-A3B | Apr 14, 2026 | 144.11 | n/a | n/a | Open weights (unrestricted) |
| Qwen 3.6 Plus | Mar 31, 2026 | 147.49 | 1,476 | 68.9 | API access |
Have you used Qwen3.7-Max? Rate it
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What people ask about Qwen3.7-Max
Where does Qwen3.7-Max rank among AI models?
In the ROO3 AI Benchmark, ordered by the Epoch AI ECI, Qwen3.7-Max ranks #42 out of 267 models, with an ECI of 153.83. 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 Qwen3.7-Max better than Grok 4.5?
Across the 15 tests both models took and Epoch AI compiled, Qwen3.7-Max comes out ahead on 4, behind on 11 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 Qwen3.7-Max 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 Qwen3.7-Max are: SimpleQA Verified (#12 of 53); SimpleBench (#11 of 41); SWE-bench Verified (#7 of 23). 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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