Intfloat: Multilingual-E5-Large
by Intfloat · Released 2025-11-18
The multilingual-e5-large embedding model encodes sentences, paragraphs, and documents across over 90 languages into a 1024-dimensional dense vector space, delivering robust semantic embeddings optimized for multilingual retrieval, cross-language similarity, and...
Context512 tokensMax output460 tokensReleased2025-11-18
What it can do
What this model can take in, what it replies with, and what it does not do.
Not for
- Fine-tuning on your own data — not supported
Also supports
Tool callingStructured JSONStep-by-step reasoningStreamingPrompt cachingFine-tuning
Where your request runs
You call one endpoint. Behind it, OpenDunes keeps every one of these live — if one degrades, the next takes the request without you changing a line.
| Provider | In /M | Out /M | Cache /M | Latency | TPS | Uptime |
|---|---|---|---|---|---|---|
| DeepInfra | 3,24 DA | Free | — | — | — | 100,0 % |
Routed through the Bifrost gateway · prices in Algerian Dinars per 1M tokens · you’re charged the price of the endpoint that served your request.
What it costs
Each request charges exactly what it uses — no subscription, no minimum.
3,24 DA/M input·0 DA/M output
Top up points
3 000 DA ≈ 3 083 247 typical replies · the exact charge appears after every request, down to the centime.
Call it in code
OpenAI-compatible — point any OpenAI SDK at our base URL and keep your code. Copy the request, or run it right here on your wallet.
Sign in to run this request on your own wallet.
The same request, in your language
Parameters you can send
Standard OpenAI fields, grouped by what they control. Anything not listed is accepted and ignored.
Limits
The hard numbers — what it can take in, what it can give back, and where it stops.
- Context window
- 512 tokens
- Max output
- 460 tokens
- Tokenizer
- Other
- Released
- 2025-11-18
Questions about Multilingual-E5-Large
How much does Multilingual-E5-Large cost in Algerian Dinars?
3,24 DA for the text you send and Free for the text it writes back. A typical exchange — a short question and a one-screen answer — costs about 0,001 DA. You pay for what you actually use: no subscription, no minimum.
How big is Multilingual-E5-Large's context window?
Multilingual-E5-Large reads up to 512 tokens in one request.
What can Multilingual-E5-Large handle?
It reads text and replies with embeddings. It also supports replying in structured JSON.
Can I use Multilingual-E5-Large without an international bank card?
Yes. Top up your OpenDunes balance in dinars with a CIB or Edahabia card, then spend it on Multilingual-E5-Large or any other model in the catalog from that same balance. No foreign card, no currency conversion, no subscription.
Who makes Multilingual-E5-Large?
Multilingual-E5-Large is built by Intfloat, released on Nov 18, 2025. OpenDunes serves it unchanged — same model, same weights, billed in dinars.
Other Intfloat models, priced in dinars
See all Intfloat modelsIntfloat: E5-Large-v2
intfloat/e5-large-v2
The e5-large-v2 embedding model maps English sentences, paragraphs, and documents into a 1024-dimensional dense vector space, delivering high-accuracy semantic embeddings optimized for retrieval, semantic search, reranking, and similarity-scoring tasks.
TextEmbeddings
in3,24 DAoutFreeper 1M tokens
by IntfloatNov 18, 2025512 contextJSON
Intfloat: E5-Base-v2
intfloat/e5-base-v2
The e5-base-v2 embedding model encodes English sentences and paragraphs into a 768-dimensional dense vector space, producing efficient and high-quality semantic embeddings optimized for tasks such as semantic search, similarity scoring,...
TextEmbeddings
in1,62 DAoutFreeper 1M tokens
by IntfloatNov 18, 2025512 contextJSON