Qwen2.5-Max

Qwen2.5-Max

Alibaba
Qwen 4

Qwen 4

Alibaba
+
+

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About

Qwen2.5-Max is a large-scale Mixture-of-Experts (MoE) model developed by the Qwen team, pretrained on over 20 trillion tokens and further refined through Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF). In evaluations, it outperforms models like DeepSeek V3 in benchmarks such as Arena-Hard, LiveBench, LiveCodeBench, and GPQA-Diamond, while also demonstrating competitive results in other assessments, including MMLU-Pro. Qwen2.5-Max is accessible via API through Alibaba Cloud and can be explored interactively on Qwen Chat.

About

Qwen 4 is Alibaba’s next-generation Qwen foundation model, announced on September 22, 2026, and currently in training. It will follow the Qwen3.8 generation as part of Alibaba’s broader roadmap for increasingly capable foundation and agentic AI models. Alibaba has not yet published Qwen 4’s parameter count, architecture, benchmark results, context window, pricing, release date, or availability details. The announcement places Qwen 4 within a research strategy focused on large-scale model training, agentic reinforcement learning, multimodal intelligence, and recursive self-improvement. Alibaba separately said that later Qwen 4.5 and Qwen 5 models are expected to scale into the 5-to-10-trillion-parameter range, but that figure was not attributed specifically to Qwen 4. Because Qwen 4 has not yet been released, detailed performance comparisons and production capabilities remain unconfirmed.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI researchers, developers, and enterprises seeking a high-performance Mixture-of-Experts model for advanced reasoning, coding, and language tasks, accessible via API and interactive chat

Audience

AI developers, researchers, enterprises, agent builders, and organizations following Alibaba’s next generation of foundation models, although its final production use cases cannot yet be determined because the model remains in training

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

Free
Open source
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Alibaba
Founded: 1999
China
qwenlm.github.io/blog/qwen2.5-max/

Company Information

Alibaba
Founded: 1999
China
qwen.ai

Alternatives

DeepSeek R2

DeepSeek R2

DeepSeek

Alternatives

Qwen3.8-27B

Qwen3.8-27B

Alibaba
ERNIE 4.5

ERNIE 4.5

Baidu
Qwen2

Qwen2

Alibaba
ERNIE X1

ERNIE X1

Baidu
Qwen3.6

Qwen3.6

Alibaba
Qwen2

Qwen2

Alibaba
Qwen3.6

Qwen3.6

Alibaba
Qwen3.8-Max

Qwen3.8-Max

Alibaba

Categories

Categories

Integrations

Alibaba Cloud
Hugging Face
ModelScope
Qwen Studio
Alibaba Cloud Model Studio
Cherry Studio
Cline
ClinePass
Happy Shrimp 1.0
Model Context Protocol (MCP)
Novita AI
Odysseus
OfoxAI
Ollama
OpenClaw
Python
Qwen
Qwen Code
QwenCloud
QwenWork

Integrations

Alibaba Cloud
Hugging Face
ModelScope
Qwen Studio
Alibaba Cloud Model Studio
Cherry Studio
Cline
ClinePass
Happy Shrimp 1.0
Model Context Protocol (MCP)
Novita AI
Odysseus
OfoxAI
Ollama
OpenClaw
Python
Qwen
Qwen Code
QwenCloud
QwenWork
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