Calculate the cost of using qwen3.7-max from Dashscope for your AI applications
Pricing data last updated:
Mode: Chat
Max: 991,808 tokens
Max: 65,536 tokens
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qwen3.7-max is a chat model from Dashscope, one of 18 chat models they offer. It is priced at $2.50 per 1M input tokens and $7.50 per 1M output tokens, ranking 2208 out of 2688 chat models by cost and cheaper than 17% of models in this category. qwen3.7-max supports function calling, reasoning, prompt caching, structured output. Its 992K-token context window is in the top 16% among chat models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 991,808 input tokens. The maximum output length is 65,536 tokens.
At $2.50 per 1M input tokens and $7.50 per 1M output tokens, qwen3.7-max ranks 2208 out of 2688 chat models by input cost. It is more expensive compared to the median of $0.50 for chat models, and is cheaper than 17% of models in this category.
qwen3.7-max is one of 18 Dashscope chat models, with support for function calling, reasoning, prompt caching, structured output. its 992K-token context window places it in the top 16% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3.7-max |
|---|---|---|---|---|
| amazon.nova-2-pro-preview-20251202-v1:0 | AWS Bedrock | $2.19 | $17.50 | -12% |
| apac.amazon.nova-2-pro-preview-20251202-v1:0 | AWS Bedrock | $2.19 | $17.50 | -12% |
| eu.amazon.nova-2-pro-preview-20251202-v1:0 | AWS Bedrock | $2.19 | $17.50 | -12% |
Similar chat models from other providers
No. qwen3.7-max costs $2.50 per 1M input tokens while amazon.nova-2-pro-preview-20251202-v1:0 costs $2.19 per 1M input tokens, making amazon.nova-2-pro-preview-20251202-v1:0 12% more affordable for input. However, qwen3.7-max may offer different capabilities or performance characteristics that justify the price difference.
qwen3.7-max input pricing is $2.50 per 1M tokens, which is 400% above the median of $0.50 for chat models. It ranks 2208 out of 2688 chat models by input cost, making it cheaper than 17% of models in this category. For output, it costs $7.50 per 1M tokens compared to the median of $1.44.
Among Dashscope's 18 chat models, qwen3.7-max ranks 18 by input cost.
The most comparable chat models to qwen3.7-max are: amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M input tokens); apac.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M input tokens); eu.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M input tokens); us.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
qwen3.7-max supports up to 991,808 input tokens, placing it in the top 16% of chat models by context window size (rank 396 of 2502). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
qwen3.7-max is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $2.50 and generating 1M output tokens costs $7.50.