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bge-m3 Cost Calculator - Libertai

Calculate the cost of using bge-m3 from Libertai for your AI applications

Pricing data last updated:

bge-m3 Cost Calculator

Mode: Embedding

Max: 8,192 tokens

Cost Breakdown

Input Cost$0.00001000
Total Cost$0.00001000

Pricing Details

Input: $0.0000000100 per token
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Model Specifications

Limits

Max Input Tokens8,192
Max Tokens8,192

About bge-m3

bge-m3 is an embedding model from Libertai. It is priced at $0.01 per 1M input tokens and $0.0000 per 1M output tokens, ranking 5 out of 96 embedding models by cost and cheaper than 95% of models in this category. Its 8K-token context window is in the top 49% among embedding models.

Pricing Information

Input Cost$0.01 per 1M tokens

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

Technical Specifications

Maximum Input Tokens8,192
Maximum Total Tokens8,192

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 8,192 input tokens.

How bge-m3 Pricing Compares

At $0.01 per 1M input tokens and $0.0000 per 1M output tokens, bge-m3 ranks 5 out of 96 embedding models by input cost. It is more affordable compared to the median of $0.10 for embedding models, and is cheaper than 95% of models in this category.

bge-m3 is a embedding model from Libertai, its 8K-token context window places it in the top 49% of embedding models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs bge-m3
bge-en-iclNebius$0.01$0.00000%
bge-multilingual-gemma2Nebius$0.01$0.00000%
e5-mistral-7b-instructNebius$0.01$0.00000%

Alternatives to bge-m3

Similar embedding models from other providers

Nebius
bge-en-icl
$0.01/1M input
0% vs bge-m3
Nebius
bge-multilingual-gemma2
$0.01/1M input
0% vs bge-m3
Nebius
e5-mistral-7b-instruct
$0.01/1M input
0% vs bge-m3
Novita
bge-m3
$0.01/1M input
0% vs bge-m3

Frequently Asked Questions

Is bge-m3 cheaper than bge-en-icl?

No. bge-m3 costs $0.01 per 1M input tokens while bge-en-icl costs $0.01 per 1M input tokens, making bge-en-icl 0% more affordable for input. However, bge-m3 may offer different capabilities or performance characteristics that justify the price difference.

How does bge-m3 pricing compare to the average embedding model?

bge-m3 input pricing is $0.01 per 1M tokens, which is 90% below the median of $0.10 for embedding models. It ranks 5 out of 96 embedding models by input cost, making it cheaper than 95% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.02.

What are the best alternatives to bge-m3?

The most comparable embedding models to bge-m3 are: bge-en-icl from Nebius ($0.01/1M input tokens); bge-multilingual-gemma2 from Nebius ($0.01/1M input tokens); e5-mistral-7b-instruct from Nebius ($0.01/1M input tokens); bge-m3 from Novita ($0.01/1M 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 bge-m3 costs?

bge-m3 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 $0.01 and generating 1M output tokens costs $0.0000.