Calculate the cost of using Qwen2.5-72B-Instruct-Turbo from Together AI for your AI applications
Pricing data last updated:
Mode: Chat
Max: 131,072 tokens
Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.
Qwen2.5-72B-Instruct-Turbo is a chat model from Together AI, one of 87 chat models they offer. It is priced at $1.20 per 1M input tokens and $1.20 per 1M output tokens, ranking 2493 out of 3778 chat models by cost and cheaper than 34% of models in this category. It accepts up to 131K input tokens.
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 131,072 input tokens.
At $1.20 per 1M input tokens and $1.20 per 1M output tokens, Qwen2.5-72B-Instruct-Turbo ranks 2493 out of 3778 chat models by input cost. It is more expensive compared to the median of $0.60 for chat models, and is cheaper than 34% of models in this category.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs Qwen2.5-72B-Instruct-Turbo |
|---|---|---|---|---|
| amazon.nova-2-pro-preview-20251202-v1:0 | AWS Bedrock | $1.25 | $10.00 | +4% |
| apac.amazon.nova-2-pro-preview-20251202-v1:0 | AWS Bedrock | $1.38 | $11.00 | +15% |
| eu.amazon.nova-2-pro-preview-20251202-v1:0 | AWS Bedrock | $1.38 | $11.00 | +15% |
Similar chat models from other providers
Yes. Qwen2.5-72B-Instruct-Turbo costs $1.20 per 1M input tokens compared to amazon.nova-2-pro-preview-20251202-v1:0's $1.25 per 1M input tokens, making it 4% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching, structured output.
Qwen2.5-72B-Instruct-Turbo input pricing is $1.20 per 1M tokens, which is 100% above the median of $0.60 for chat models. It ranks 2493 out of 3778 chat models by input cost, making it cheaper than 34% of models in this category. For output, it costs $1.20 per 1M tokens compared to the median of $1.75.
Among Together AI's 87 chat models, Qwen2.5-72B-Instruct-Turbo ranks 70 by input cost.
The most comparable chat models to Qwen2.5-72B-Instruct-Turbo are: amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($1.25/1M input tokens); apac.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($1.38/1M input tokens); eu.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($1.38/1M input tokens); us.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($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.
Qwen2.5-72B-Instruct-Turbo 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 $1.20 and generating 1M output tokens costs $1.20.