Calculate the cost of using Qwen3.7-Max from Together AI for your AI applications
Pricing data last updated:
Mode: Chat
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Qwen3.7-Max is a chat model from Together AI, one of 57 chat models they offer. It is priced at $1.25 per 1M input tokens and $3.75 per 1M output tokens, ranking 2083 out of 2912 chat models by cost and cheaper than 28% of models in this category.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
At $1.25 per 1M input tokens and $3.75 per 1M output tokens, Qwen3.7-Max ranks 2083 out of 2912 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.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs Qwen3.7-Max |
|---|---|---|---|---|
| amazon.titan-text-express-v1 | AWS Bedrock | $1.30 | $1.70 | +4% |
| 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% |
Similar chat models from other providers
Yes. Qwen3.7-Max costs $1.25 per 1M input tokens compared to amazon.titan-text-express-v1's $1.30 per 1M input tokens, making it 4% more affordable. Both are chat models.
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 2083 out of 2912 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 $1.50.
Among Together AI's 57 chat models, Qwen3.7-Max ranks 48 by input cost.
The most comparable chat models to Qwen3.7-Max are: amazon.titan-text-express-v1 from AWS Bedrock ($1.30/1M input tokens); 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). 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.
You can monitor Together AI service health in real time on the Bifrost Together AI 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.