Qwen-Max

Qwen-Max by Alibaba excels in the Coding category, where it ranks #294 with a composite score of 40/100. 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... It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Qwen-Max is priced at $1.04 per million input tokens and $4.16 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Qwen-Max holds rank #294 out of 340 models tracked. Its quality rank is #294 and adoption rank is #294. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Qwen-Max has been evaluated across 5 different signals. Its strongest areas include Capabilities (50/100), Pricing (96/100), Context Window (72/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 40/100 reflects a weighted combination of all tracked signals.

Qwen-Max is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Alibaba's website for current free tier availability and promotional offers.

Qwen-Max supports a 33K token context window (32,768 tokens total). That translates to roughly 24,576 words in a single prompt. Plenty for most coding tasks, medium-length documents, and extended conversations.

Qwen-Max can generate up to 8K output tokens (8,192 tokens) per response. That is roughly 6,144 words. Sufficient for typical conversations, code snippets, and summaries.

Qwen-Max supports function/tool calling, structured JSON output, streaming responses. Function calling lets you integrate it with external APIs and tools programmatically. These capabilities determine which workflows and integrations the model can handle natively.

Qwen-Max was developed by Alibaba. It was released on February 1, 2025. You can access it through Alibaba's API. Check our provider page for all models from Alibaba and how they compare against each other.

Pick Qwen-Max when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access Qwen-Max through Alibaba's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.