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rerank-2 Cost Calculator - Voyage

Calculate the cost of using rerank-2 from Voyage for your AI applications

Pricing data last updated:

rerank-2 Cost Calculator

Mode: Rerank

0

Cost Breakdown

Input Cost$0.00005000
Total Cost$0.00005000

Pricing Details

Input: $0.0000000500 per token
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Model Specifications

Limits

Max Input Tokens16,000
Max Output Tokens16,000
Max Tokens16,000

About rerank-2

rerank-2 is a rerank model from Voyage, one of 4 rerank models they offer. It is priced at $0.05 per 1M input tokens and $0.0000 per 1M output tokens, ranking 5 out of 7 rerank models by cost and cheaper than 0% of models in this category. It accepts up to 16K input tokens.

Pricing Information

Input Cost$0.05 per 1M tokens

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

Technical Specifications

Maximum Input Tokens16,000
Maximum Output Tokens16,000
Maximum Total Tokens16,000
Maximum Query Tokens16,000

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 16,000 input tokens. The maximum output length is 16,000 tokens.

How rerank-2 Pricing Compares

At $0.05 per 1M input tokens and $0.0000 per 1M output tokens, rerank-2 ranks 5 out of 7 rerank models by input cost. It is more expensive compared to the median of $0.02 for rerank models, and is cheaper than 0% of models in this category.

ModelProviderInput / 1M tokensOutput / 1M tokensvs rerank-2
qwen3-reranker-8bNovita$0.05$0.050%
jina-reranker-v2-base-multilingualJina AI$0.02$0.02-64%
bge-reranker-v2-m3Novita$0.01$0.01-80%

Alternatives to rerank-2

Similar rerank models from other providers

Novita
qwen3-reranker-8b
$0.05/1M input
0% vs rerank-2
Jina AI
jina-reranker-v2-base-multilingual
$0.02/1M input
-64% vs rerank-2
Novita
bge-reranker-v2-m3
$0.01/1M input
-80% vs rerank-2
Voyage
rerank-2.5
$0.05/1M input
0% vs rerank-2
Voyage
rerank-2-lite
$0.02/1M input
-60% vs rerank-2

Frequently Asked Questions

Is rerank-2 cheaper than qwen3-reranker-8b?

No. rerank-2 costs $0.05 per 1M input tokens while qwen3-reranker-8b costs $0.05 per 1M input tokens, making qwen3-reranker-8b 0% more affordable for input. However, rerank-2 may offer different capabilities or performance characteristics that justify the price difference.

How does rerank-2 pricing compare to the average rerank model?

rerank-2 input pricing is $0.05 per 1M tokens, which is 150% above the median of $0.02 for rerank models. It ranks 5 out of 7 rerank models by input cost, making it cheaper than 0% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.02.

What makes rerank-2 different from other Voyage models?

Among Voyage's 4 rerank models, rerank-2 ranks 3 by input cost.

What are the best alternatives to rerank-2?

The most comparable rerank models to rerank-2 are: qwen3-reranker-8b from Novita ($0.05/1M input tokens); jina-reranker-v2-base-multilingual from Jina AI ($0.02/1M input tokens); bge-reranker-v2-m3 from Novita ($0.01/1M input tokens); rerank-2.5 from Voyage ($0.05/1M 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 calculate rerank-2 costs?

rerank-2 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 $0.05 and generating 1M output tokens costs $0.0000.