Best Alibaba Qwen Models in 2026
As of September 10, 2026, the top model in best alibaba qwen models on the BenchLM leaderboard is Qwen3.8 Max with a score of 71.6.
Bottom line: Alibaba's Qwen series has improved significantly. Qwen3.5 397B (Reasoning) leads with strong math (92) and coding (85). The MoE variants offer efficient alternatives.
About this ranking
Last verified: September 10, 2026
All Alibaba Qwen models ranked by benchmark performance.
Unless noted otherwise, ranking surfaces on this page use BenchLM’s provisional leaderboard lane rather than the stricter sourced-only verified leaderboard.
Qwen3.8 Max leads this ranking with a score of 71.6, followed by Qwen3.7 Max (67.1) and Qwen3.8-27B (64.5). There is meaningful separation between the top models, suggesting genuine performance differences.
The best open-weight option is Qwen3.8 Max (ranked #1 with a score of 71.6). Open-weight models are highly competitive in this category — self-hosting is a viable alternative to proprietary APIs.
This ranking uses provisional overall weighted scores from the active scoring formula. For detailed model profiles, click any model name below. To compare two specific models head-to-head, use the "vs #" links.
What changed
Qwen3.5 397B (Reasoning) leads Alibaba's lineup — best math (92) and coding (85).
Qwen3.6 Plus newest generation with 1M context and strong instruction following (90).
Qwen3.5-122B-A10B efficient MoE variant — good performance per compute.
Full Rankings (25 models)
Key Takeaways
The top model is Qwen3.8 Max by Alibaba with a BenchAlign v5 score of 71.6 and Supported evidence.
The best open-weight model is Qwen3.8 Max at position #1.
25 models are included in this ranking.
Score in Context
What these scores mean
Models are ranked by the same overall BenchLM score used across all leaderboards. Comparing within Alibaba's lineup helps identify which model fits your use case and budget.
Known limitations
This page only shows Alibaba models. Cross-provider comparison requires the overall or category-specific leaderboards. Newer models may have limited benchmark coverage initially.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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