# Qwen publishes Qwen2.5-Max MoE model research blog

> Qwen published a research blog post on Qwen2.5-Max, a large-scale Mixture-of-Experts model. The post discusses the benefits of scaling data and model size, notes that the industry has limited experience scaling extremely large MoE models, and references DeepSeek V3's recent disclosure of scaling details. The source text is truncated and contains no benchmark results, architecture specifics, or release details beyond the topic.

| | |
|---|---|
| **Tool** | Qwen |
| **Version** | — |
| **Kind** | announcement |
| **Published** | 2025-01-28 |
| **Observed** | 2026-08-11 |
| **Significance** | 3/5 |
| **Breaking** | no |
| **Categories** | new-model, capability |

> **Note:** this classification is below our confidence threshold and is pending human review.

## What changed


- Research blog post covering large-scale MoE model development
- Discusses limited industry experience scaling extremely large dense and MoE models
- References DeepSeek V3 as a recent disclosure of scaling process details
- Source text is truncated; no benchmark results, architecture details, or availability information are present


## Sources

- [blog_rss](https://qwenlm.github.io/blog/qwen2.5-max/) — retrieved 2026-08-11


## Community

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---
Canonical: https://changelogs.info/qwen/qwen-publishes-qwen2-5-max-moe-model-research-blog
Entity: https://changelogs.info/qwen
Event ID: `evt_2025-01-28_qwen_qwen2-5-max-exploring-the-intelligence-of-large-scale-moe-model`
Licence: event synthesis © changelogs.info, CC BY 4.0. Linked sources belong to their vendors.