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

About Qwen2.5-Max

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.

Pricing

Starting Price:
Free
Pricing Details:
Open source
Free Version:
Free Version available.

Integrations

API:
Yes, Qwen2.5-Max offers API access

Ratings/Reviews

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

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Company Information

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

Videos and Screen Captures

Qwen2.5-Max Screenshot 1
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Product Details

Platforms Supported
Cloud
Windows
Mac
Linux
Training
Documentation

Qwen2.5-Max Frequently Asked Questions

Q: What kinds of users and organization types does Qwen2.5-Max work with?
Q: What languages does Qwen2.5-Max support in their product?
Q: What other applications or services does Qwen2.5-Max integrate with?
Q: Does Qwen2.5-Max have an API?
Q: What type of training does Qwen2.5-Max provide?
Q: How much does Qwen2.5-Max cost?

Qwen2.5-Max Product Features

Qwen2.5-Max Additional Categories