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Qwen2.5-72B-Instruct Cost Calculator - Hyperbolic

Calculate the cost of using Qwen2.5-72B-Instruct from Hyperbolic for your AI applications

Qwen2.5-72B-Instruct Cost Calculator

Mode: Chat

Max: 131,072 tokens

Max: 131,072 tokens

Cost Breakdown

Input Cost$0.00012000
Output Cost$0.00030000
Total Cost$0.00042000

Pricing Details

Input: $0.0000001200 per token
Output: $0.0000003000 per token
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Model Specifications

Capabilities

✓Function Calling

Limits

Max Input Tokens131,072
Max Output Tokens131,072
Max Tokens131,072

About Qwen2.5-72B-Instruct

Qwen2.5-72B-Instruct is a powerful chat AI model offered by Hyperbolic. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using Qwen2.5-72B-Instruct in your applications.

Pricing Information

Input Cost$0.12 per 1M tokens
Output Cost$0.30 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens131,072
Maximum Output Tokens131,072
Maximum Total Tokens131,072

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 131,072 input tokens. The maximum output length is 131,072 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓System Messages - Configure model behavior
✓Parallel Function Calling - Execute multiple functions simultaneously
When should you use Qwen2.5-72B-Instruct?

Qwen2.5-72B-Instruct is best suited for the following scenarios:

  • Long-context chat and document analysis
  • Agent workflows with large memory windows
  • Agentic systems with function or tool calling
  • Workflow automation and API orchestration
When should you avoid Qwen2.5-72B-Instruct?
  • High-volume text generation where output cost dominates
  • Streaming or verbose response workloads
  • Complex multi-step reasoning or planning tasks
  • Applications requiring image, audio, or multimodal inputs
How does Qwen2.5-72B-Instruct compare to similar models?

Compared to other models in a similar category, this model is more cost-efficient on input tokens but relatively expensive on output tokens. It is better suited for retrieval-heavy or context-rich workflows than generation-heavy use cases.

Understanding Qwen2.5-72B-Instruct pricing
  • Qwen2.5-72B-Instruct is a general-purpose AI model provided by Hyperbolic.
  • Input tokens are priced at $0.12 per 1M tokens.
  • Output tokens are priced at $0.30 per 1M tokens.
  • The model supports a maximum input capacity of 131,072 tokens.
  • Maximum output length is 131,072 tokens.
  • For this model, input tokens are less expensive than output tokens, so optimizing your prompts can help manage costs.
  • Supports function calling for executing custom functions and tools.
  • Hyperbolic offers Qwen2.5-72B-Instruct for general-purpose AI workloads — general-purpose AI workloads.

How to Use This Calculator

Step 1: Enter the number of input tokens you expect to use. Input tokens include your prompt, system messages, and any context you provide to the model.

Step 2: Specify the number of output tokens you anticipate. Output tokens are the text generated by the model in response to your input.

Step 3: Review the cost breakdown to see the total estimated cost for your usage. The calculator automatically updates as you adjust the token counts.

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Qwen2.5-72B-Instruct Cost Calculator - Hyperbolic | Bifrost