Calculate the cost of using e5-mistral-7b-instruct from Nebius for your AI applications
Pricing data last updated:
Mode: Embedding
Max: 32,768 tokens
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e5-mistral-7b-instruct is an embedding model from Nebius, one of 3 embedding models they offer. It is priced at $0.01 per 1M input tokens and $0.0000 per 1M output tokens, ranking 3 out of 96 embedding models by cost and cheaper than 95% of models in this category. Its 33K-token context window is in the top 13% among embedding models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 32,768 input tokens.
At $0.01 per 1M input tokens and $0.0000 per 1M output tokens, e5-mistral-7b-instruct ranks 3 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.
e5-mistral-7b-instruct is one of 3 Nebius embedding models, its 33K-token context window places it in the top 13% of embedding models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs e5-mistral-7b-instruct |
|---|---|---|---|---|
| bge-m3 | Novita | $0.01 | $0.01 | 0% |
| bge-m3 | Libertai | $0.01 | $0.0000 | 0% |
| text-embedding-3-small | Azure | $0.02 | $0.0000 | +100% |
Similar embedding models from other providers
No. e5-mistral-7b-instruct costs $0.01 per 1M input tokens while bge-m3 costs $0.01 per 1M input tokens, making bge-m3 0% more affordable for input. However, e5-mistral-7b-instruct may offer different capabilities or performance characteristics that justify the price difference.
e5-mistral-7b-instruct input pricing is $0.01 per 1M tokens, which is 90% below the median of $0.10 for embedding models. It ranks 3 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.
Among Nebius's 3 embedding models, e5-mistral-7b-instruct ranks 3 by input cost.
The most comparable embedding models to e5-mistral-7b-instruct are: bge-m3 from Novita ($0.01/1M input tokens); bge-m3 from Libertai ($0.01/1M input tokens); text-embedding-3-small from Azure ($0.02/1M input tokens); UAE-Large-V1 from Fireworks Ai-embedding-models ($0.02/1M 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.
e5-mistral-7b-instruct supports up to 32,768 input tokens, placing it in the top 13% of embedding models by context window size (rank 8 of 89). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
e5-mistral-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 $0.01 and generating 1M output tokens costs $0.0000.
