# Multilingual E5 Large Instruct

Multilingual E5 Large Instruct is a embedding model from Intfloat with a 1K-token context window. Provider list price is $0.02 per M tokens; on Allocate you pay $0.021 with the 7% transaction fee. The weights are open under MIT, so you can fine-tune it and own the result.

## Pricing

| | Provider list | On Allocate |
| --- | --- | --- |
| Input, per M tokens | $0.02 | $0.021 |

Token usage bills at the provider list price plus the 7% transaction fee. Prices checked 2026-07-08.

## Facts

| Field | Value |
| --- | --- |
| Lab | Intfloat |
| Modality | Embedding |
| Context window | 1K tokens |
| License | MIT |
| Open weights | Yes |
| Fine-tunable | Yes, on your data |
| Catalog id | intfloat/multilingual-e5-large-instruct |

## What a real workload costs

Embedding 100M tokens, roughly 75M words of documents, costs 100 × $0.02 = $2 at list, or $2.14 billed on Allocate with the 7% transaction fee included.

## Common questions

### How much does Multilingual E5 Large Instruct cost?

Provider list price is $0.02 per M tokens. On Allocate you pay list plus the 7% transaction fee: $0.021.

### What context window does Multilingual E5 Large Instruct have?

514 tokens (1K). At roughly 0.75 words per token, that is about 0k words of English text per request.

### Can I fine-tune Multilingual E5 Large Instruct?

Yes. Multilingual E5 Large Instruct is an open-weights model under the MIT license. The license is permissive, so the fine-tuned weights are yours to use commercially. On Allocate the trained weights stay inside your boundary and belong to you.

### How do I call Multilingual E5 Large Instruct on Allocate?

Send intfloat/multilingual-e5-large-instruct in the model field of the OpenAI-compatible endpoint at api.allocate.network/v1, or point a route name (like prod/support-agent) at it so you can swap the model later without a deploy.

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[HTML page](https://allocate.network/models/intfloat-multilingual-e5-large-instruct) · [Machine-readable catalog](https://allocate.network/catalog.json)
