qwen3-reranker-8b Cost Calculator - Novita

Calculate the cost of using qwen3-reranker-8b from Novita for your AI applications

qwen3-reranker-8b Cost Calculator

Mode: Rerank

Input Tokens

Output Tokens

Cost Breakdown

Input Cost$0.00005000

Output Cost$0.00005000

Total Cost$0.00010000

Pricing Details

Input: $0.0000000500 per token

Output: $0.0000000500 per token

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Model Specifications

Limits

Max Input Tokens32,768

Max Output Tokens4,096

Max Tokens4,096

About qwen3-reranker-8b

qwen3-reranker-8b is a powerful rerank AI model offered by Novita. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using qwen3-reranker-8b in your applications.

Pricing Information

Input Cost$0.05 per 1M tokens

Output Cost$0.05 per 1M tokens

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

Technical Specifications

Maximum Input Tokens32,768

Maximum Output Tokens4,096

Maximum Total Tokens4,096

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. The maximum output length is 4,096 tokens.

When should you use qwen3-reranker-8b?

qwen3-reranker-8b is best suited for the following scenarios:

Search reranking for RAG pipelines
Improving relevance for semantic search results
Reordering candidate documents or passages before generation

When should you avoid qwen3-reranker-8b?

Conversational AI and free-form text generation
Summarization or creative writing workloads
Audio, image, or video generation tasks

How does qwen3-reranker-8b compare to similar models?

This is a reranking model. Compared to general-purpose generators, rerankers are optimized for ordering candidates by relevance. When comparing similar models, evaluate relevance quality on your retrieval set and how pricing scales with the number and length of candidates.

Understanding qwen3-reranker-8b pricing

qwen3-reranker-8b is a reranking model provided by Novita.
Input tokens are priced at $0.05 per 1M tokens.
Output tokens are priced at $0.05 per 1M tokens.
The model supports a maximum input capacity of 32,768 tokens.
Maximum output length is 4,096 tokens.
For this model, input tokens are more expensive than output tokens, so optimizing your prompts can help manage costs.
Novita offers qwen3-reranker-8b for reranking workloads — search relevance improvements and RAG reranking.

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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