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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.
Price/1M
$1.82
534th cheapest
487% above median
Top 79%
Context Window
33K
291st largest
Top 91%
Input
$1.04
per 1M tokens
Output
$4.16
per 1M tokens
Blended
$1.82
per 1M tokens
Cheaper than 21% of models. Median price is $0.31/1M tokens.
Daily
$1.82
Monthly
$54.60
Context Window
33K
tokens
Larger than 9% of models
Max Output
8K
tokens
25% of context
Context Window Comparison