Try Bifrost Enterprise free for 14 days.
Request access

Qwen2.5-7B-Instruct Cost Calculator - Hugging Face

Calculate the cost of using Qwen2.5-7B-Instruct from Hugging Face for your AI applications

Pricing data last updated:

Qwen2.5-7B-Instruct Cost Calculator

Mode: Chat

Max: 32,768 tokens

Cost Breakdown

Input Cost$0.00030000
Output Cost$0.00030000
Total Cost$0.00060000

Pricing Details

Input: $0.0000003000 per token
Output: $0.0000003000 per token
[ WE'RE OPEN SOURCE ]

Scale with the Fastest LLM Gateway

Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.

Model Specifications

Capabilities

Function Calling

Limits

Max Input Tokens32,768
Max Tokens32,768

About Qwen2.5-7B-Instruct

Qwen2.5-7B-Instruct is a chat model from Hugging Face, one of 187 chat models they offer. It is priced at $0.30 per 1M input tokens and $0.30 per 1M output tokens, ranking 1079 out of 2661 chat models by cost and cheaper than 59% of models in this category. Qwen2.5-7B-Instruct supports function calling, structured output. It accepts up to 33K input tokens.

Pricing Information

Input Cost$0.30 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 Tokens32,768
Maximum Total Tokens32,768

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 32,768 input tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Response Schema - Structured output formatting

How Qwen2.5-7B-Instruct Pricing Compares

At $0.30 per 1M input tokens and $0.30 per 1M output tokens, Qwen2.5-7B-Instruct ranks 1079 out of 2661 chat models by input cost. It is more affordable compared to the median of $0.50 for chat models, and is cheaper than 59% of models in this category.

Qwen2.5-7B-Instruct is one of 187 Hugging Face chat models, with support for function calling, structured output.

ModelProviderInput / 1M tokensOutput / 1M tokensvs Qwen2.5-7B-Instruct
amazon.nova-2-lite-v1:0AWS Bedrock$0.30$2.500%
apac.amazon.nova-2-lite-v1:0AWS Bedrock$0.33$2.75+10%
eu.amazon.nova-2-lite-v1:0AWS Bedrock$0.33$2.75+10%

Alternatives to Qwen2.5-7B-Instruct

Similar chat models from other providers

AWS Bedrock
amazon.nova-2-lite-v1:0
$0.30/1M input
0% vs Qwen2.5-7B-Instruct
AWS Bedrock
apac.amazon.nova-2-lite-v1:0
$0.33/1M input
+10% vs Qwen2.5-7B-Instruct
AWS Bedrock
eu.amazon.nova-2-lite-v1:0
$0.33/1M input
+10% vs Qwen2.5-7B-Instruct
AWS Bedrock
us.amazon.nova-2-lite-v1:0
$0.33/1M input
+10% vs Qwen2.5-7B-Instruct
AWS Bedrock
anthropic.claude-3-haiku-20240307-v1:0
$0.25/1M input
-17% vs Qwen2.5-7B-Instruct

Frequently Asked Questions

Is Qwen2.5-7B-Instruct cheaper than amazon.nova-2-lite-v1:0?

No. Qwen2.5-7B-Instruct costs $0.30 per 1M input tokens while amazon.nova-2-lite-v1:0 costs $0.30 per 1M input tokens, making amazon.nova-2-lite-v1:0 0% more affordable for input. However, Qwen2.5-7B-Instruct may offer different capabilities or performance characteristics that justify the price difference.

How does Qwen2.5-7B-Instruct pricing compare to the average chat model?

Qwen2.5-7B-Instruct input pricing is $0.30 per 1M tokens, which is 40% below the median of $0.50 for chat models. It ranks 1079 out of 2661 chat models by input cost, making it cheaper than 59% of models in this category. For output, it costs $0.30 per 1M tokens compared to the median of $1.44.

What makes Qwen2.5-7B-Instruct different from other Hugging Face models?

Among Hugging Face's 187 chat models, Qwen2.5-7B-Instruct ranks 108 by input cost.

What are the best alternatives to Qwen2.5-7B-Instruct?

The most comparable chat models to Qwen2.5-7B-Instruct are: amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.30/1M input tokens); apac.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); eu.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); us.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M 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.

How do I check if Hugging Face is down?

You can monitor Hugging Face service health in real time on the Bifrost Hugging Face Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.

How do I calculate Qwen2.5-7B-Instruct costs?

Qwen2.5-7B-Instruct 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 $0.30 and generating 1M output tokens costs $0.30.