Calculate the cost of using qwen3.7-max from OpenRouter for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,000,000 tokens
Max: 65,536 tokens
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qwen3.7-max is a chat model from OpenRouter, one of 347 chat models they offer. It is priced at $1.25 per 1M input tokens and $3.75 per 1M output tokens, ranking 1557 out of 2168 chat models by cost and cheaper than 28% of models in this category. qwen3.7-max supports function calling, reasoning, prompt caching, structured output. Its 1,000K-token context window is in the top 13% 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 1,000,000 input tokens. The maximum output length is 65,536 tokens.
At $1.25 per 1M input tokens and $3.75 per 1M output tokens, qwen3.7-max ranks 1557 out of 2168 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 28% of models in this category.
qwen3.7-max is one of 347 OpenRouter chat models, with support for function calling, reasoning, prompt caching, structured output. its 1,000K-token context window places it in the top 13% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3.7-max |
|---|---|---|---|---|
| apac.anthropic.claude-haiku-4-5-20251001-v1:0 | AWS Bedrock | $1.10 | $5.50 | -12% |
| gpt-5-2025-08-07 | Azure | $1.38 | $11.00 | +10% |
| gpt-5.1 | Azure | $1.38 | $11.00 | +10% |
Similar chat models from other providers
No. qwen3.7-max costs $1.25 per 1M input tokens while apac.anthropic.claude-haiku-4-5-20251001-v1:0 costs $1.10 per 1M input tokens, making apac.anthropic.claude-haiku-4-5-20251001-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 $1.25 per 1M tokens, which is 127% above the median of $0.55 for chat models. It ranks 1557 out of 2168 chat models by input cost, making it cheaper than 28% of models in this category. For output, it costs $3.75 per 1M tokens compared to the median of $1.44.
Among OpenRouter's 347 chat models, qwen3.7-max ranks 248 by input cost.
The most comparable chat models to qwen3.7-max are: apac.anthropic.claude-haiku-4-5-20251001-v1:0 from AWS Bedrock ($1.10/1M input tokens); gpt-5-2025-08-07 from Azure ($1.38/1M input tokens); gpt-5.1 from Azure ($1.38/1M input tokens); gpt-5.1-chat from Azure ($1.38/1M 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 1,000,000 input tokens, placing it in the top 13% of chat models by context window size (rank 262 of 2093). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
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 $1.25 and generating 1M output tokens costs $3.75.
