Qwen 3.7 Max Preview Lands: Rapid Dual‑Model Iteration Keeps China’s Lead in Text and Vision

The Qwen 3.7‑Max and Qwen 3.7‑Plus preview models debut with top‑15 global rankings in Arena, the only Chinese models in text and vision leaderboards, while a timeline analysis shows the Qwen series accelerating from 4‑6‑month releases to a 2‑3‑month cadence and introducing dense and MoE variants up to 235 B parameters.

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Qwen 3.7 Max Preview Lands: Rapid Dual‑Model Iteration Keeps China’s Lead in Text and Vision

Qwen 3.7 preview performance

Qwen 3.7‑Max‑Preview ranks 13th overall in the Arena text benchmark, making it the only Chinese model in the global top‑15 and raising Alibaba’s laboratory ranking to 6th.

Mathematics : 7th

Expert Prompt : 9th

Software/IT : 9th

Coding : 10th

In the visual benchmark, Qwen 3.7‑Plus‑Preview ranks 16th overall, lifting Alibaba’s visual ranking to 5th and being the sole Chinese model in the top‑10.

In the expert arena, Qwen 3.7‑Max‑Preview ranks 9th in the “expert prompt” track.

The only other Chinese model on the leaderboard is Xiaomi’s Mimo v2.5 Pro at 7th place.

Release cadence and model family

Early Qwen versions (2023‑2024) were released roughly every 4‑6 months. Starting with the Qwen 3 series, major versions appear every 2‑3 months.

The 2025 Qwen 3 family includes dense and Mixture‑of‑Experts (MoE) models ranging from 0.6 B to 235 B parameters. Two inference modes are defined:

Thinking – supports complex reasoning, long‑chain decisions, and agent tasks.

Non‑Thinking – optimized for low latency and fast response.

Preview releases are published first for community testing, followed by formal releases.

Recent acceleration

After the departure of former Qwen lead Lin Junyang (who posted “continue as planned” on X), the release pace has not slowed. In 2026, new versions have been released almost monthly, e.g., 3.5 → 3.6 → 3.7.

Reference URLs

https://x.com/Alibaba_Qwen/status/2056403591464984753

https://x.com/arena/status/2056400044862111757

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AI Benchmarklarge language modelQwenText GenerationModel IterationVision ModelChinese AI
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