Qwen Blog

What Is Qwen 3.5-Max? Makes a Stunning Debut: Jumps to Fifth Place in Global Ranking

Qwen 3.5-Max is a next-generation large language model (LLM) developed by Alibaba under the Qwen 3.5 family. It leverages Mixture-of-Experts (MoE) architecture, advanced reasoning capabilities, and agentic AI features to deliver state-of-the-art performance across coding, mathematics, multimodal reasoning, and autonomous task execution. Early benchmarks show it outperforming many competing models and ranking among the top global AI systems in 2026.

Qwen image 2.0: Feature, Performance benchmarks & Practical Prompts (2026)

Alibaba’s next-generation image model — Qwen Image 2.0 — arrived as a pragmatic, production-oriented step in multimodal foundation models: native 2K generation, professional-grade text rendering, and an architecture that unifies generation and editing to simplify pipelines. The goal: give designers, product teams, and engineers a single model that can create publication-ready graphics (infographics, posters, PPT slides) and also perform high-fidelity editing — without stitching together three or four separate models.

Mar 19, 2026

How to Use Qwen 3.5 API

On Lunar New Year’s Eve (Feb 16–17, 2026), Alibaba Group released its next-generation model, Qwen 3.5 — a multimodal, agent-capable model positioned for what the company calls an “agentic AI” era. Industry coverage highlighted claims of large gains in efficiency and cost, and rapid support from hardware and cloud vendors. CometAPI is options for developers who want hosted API access or an OpenAI-compatible integration, while AMD announced Day-0 GPU support for the model on its Instinct line. ByteDance is one of the principal domestic competitors that released upgrades around the same holiday window. OpenAI remains a reference point for comparison in benchmarks and integration style.

Qwen 3.5 vs Minimax M2.5 vs GLM 5: Which is Better in 2026

Qwen 3.5 targets large-scale, low-cost agentic multimodal workloads with a sparse Mixture-of-Experts (MoE) design and massive activated capacity; Minimax M2.5 emphasizes cost-efficient, realtime agent throughput at low running costs; GLM-5 focuses on heavy reasoning, long-context agents and engineering workflows via a very large MoE-style architecture optimized for token efficiency. The “best” depends on whether you prioritize raw reasoning/coding quality, agent throughput and cost, or open-source flexibility and long-context engineering workflows.

Qwen-3.5 on Lunar New Year — does it beat the closed-source top tier in 2026

Alibaba’s new Qwen3.5 is a major step forward — it closes the gap with, and in some agentic / multimodal workloads claims parity or advantage over, certain frontier closed-source models on a number of public benchmarks and internal tests. However, “outperform” depends on the workload: on agentic tool-use, multimodal document/video understanding, and cost-per-inference Qwen3.5 is reported to be extremely competitive (and in some vendor charts ahead). The practical takeaway: Qwen3.5 appears to be a genuine frontier contender in early 2026 — for many enterprise agentic and multimodal use cases it is now viable as a primary option.

How to use Qwen3-max thinking

Alibaba’s Qwen3-Max-Thinking — the “thinking” variant of the massive Qwen3 family — has become one of the headline stories in AI this year: a trillion-plus parameter flagship tuned for deep reasoning, long-context understanding and agentic workflows. In short, it’s the vendor’s move to give applications a slower, more traceable “System-2” mode of thought: the model doesn’t just answer, it can show (and use) steps, tools, and intermediate checks in a controlled way.