Inferbase
Beta
Qwen-Max
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.
Input
Output
Context
33K
Max Output
8K
Parameters
—
Technical Specifications
Model TypeChat
Context Window33K
Max Output Tokens8K
Parameters—
Training Cutoff—
License—
Capabilities
Input Modalities
text
Output Modalities
text
Benchmarks
Pricing
per 1M tokens • updated regularlyPricing
Input
$1.04
Output
$4.16
Available on 1 Platform
| Platform | Input | Output |
|---|---|---|
OpenRouter | $1.04 | $4.16 |
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Mar 17, 2026
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