Qwen-Max : Pricing, Context Window & Benchmarks
by Qwen
Qwen-Max, based on Qwen2.5, provides the best inference performance among [Qwen models](/qwen), especially for complex multi-step tasks. It's a large-scale MoE model that has been pretrained on over 20 trillion tokens and further post-trained with curated Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) methodologies. The parameter count is unknown.
What you can do with Qwen-Max
Everyday Q&A and clear explanations
Writing help (emails, posts, summaries)
Idea generation and brainstorming
Learning support with step-by-step guidance
Benchmarks not available
This model isn't listed on Artificial Analysis yet. Showing OpenRouter specs below.
| Metric | Value |
|---|---|
| Provider | Qwen |
| Context Window | 32,768 tokens |
| Input Price | $1.60/1M tokens |
| Output Price | $6.40/1M tokens |
| Release Date | Feb 1, 2025 |
| Modalities | text |
| Capabilities | N/A |
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Frequently asked questions
What is Qwen-Max good for?
Use Qwen-Max for everyday tasks like writing, summarizing, brainstorming, and getting clear explanations.
How much does Qwen-Max cost?
Pricing is based on usage. Current rates are $1.60/1M tokens for input and $6.40/1M tokens for output.
Can I try Qwen-Max for free?
Yes. You can start a chat instantly and test the model before deciding on a plan.
Does Qwen-Max support images or audio?
Qwen-Max focuses on text-based tasks.
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Pricing, context, and capability data are sourced from OpenRouter.
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