Calculate the cost of using Qwen3.7-Max from DeepInfra for your AI applications
Pricing data last updated:
Mode: Chat
Max: 256,000 tokens
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Qwen3.7-Max is a chat model from DeepInfra, one of 135 chat models they offer. It is priced at $2.50 per 1M input tokens and $7.50 per 1M output tokens, ranking 2719 out of 3254 chat models by cost and cheaper than 16% of models in this category. Qwen3.7-Max supports function calling, prompt caching, structured output. Its 256K-token context window is in the top 41% 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 256,000 input tokens.
At $2.50 per 1M input tokens and $7.50 per 1M output tokens, Qwen3.7-Max ranks 2719 out of 3254 chat models by input cost. It is more expensive compared to the median of $0.52 for chat models, and is cheaper than 16% of models in this category.
Qwen3.7-Max is one of 135 DeepInfra chat models, with support for function calling, prompt caching, structured output. its 256K-token context window places it in the top 41% 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 384% above the median of $0.52 for chat models. It ranks 2719 out of 3254 chat models by input cost, making it cheaper than 16% of models in this category. For output, it costs $7.50 per 1M tokens compared to the median of $1.50.
Among DeepInfra's 135 chat models, Qwen3.7-Max ranks 125 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 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.