O
OPENAI / text-embedding-3-large

text‑embedding‑3‑large

OpenAI's highest-capacity embedding model for semantic search, classification, clustering, and RAG.

01 / SUMMARY

The essential

ORIENTATIONText vector representation

Primary use stated or inferred cautiously from official documentation.

CONTEXT8,191 tokens

Maximum input capacity when published by the source.

EXITUp to 3,072 dimensions

Documented maximum generation limit.

ACCESSOpenAI API

Verified availability channels.

MODEL TYPEEmbeddings

Primary functional family and verified specialties.

LICENSEProprietary

Declared terms for API access, model weights, or self-hosting.

02 / TECHNICAL SHEET

Limits and integration

API IDtext-embedding-3-large
Model typeEmbeddings
Access modelPaid proprietary
LicenseProprietary
DeploymentHosted API
Release25 ENE 2024
Knowledge cutoffNot published
EntranceText
ExitVector
Context window8,191 tokens
maximum outputUp to 3,072 dimensions
ReasoningNot applicable or not published
Published tools
Structured OutingsNot applicable or not published
Batch processingNot published
Prompt cacheNot published
Fine-tuningNot published
Verified platformsOpenAI API
BEST SUITED FOR

Multilingual retrieval and high-quality representations.

WORTH MONITORING

Compare recall, latency, index size, and reindexing cost, not generative quality.

03 / CAPABILITIES

What it can do

01

Orientation

Multilingual retrieval and high-quality representations.

02

Context

8,191 tokens · Up to 3,072 dimensions

03

Tools and integration

Not published

04

Access

OpenAI API

Input modalities
Text
04 / PRICES

Documented cost

ConceptWorthUnit/condition
Standard inputNot publishedStandard API rate
Cached inputNot publishedReading reused prefixes
Cache write or storageNot publishedThe condition varies by provider
Standard outputNot publishedMay include reasoning tokens
Batch inputNot publishedAsynchronous processing
Batch outputNot publishedAsynchronous processing

Consult the primary source: the billing unit depends on the model type and access channel.

i Prices change and may depend on level, region or context length. Check the source before making a decision.

05 / EVALUATIONS

How to read the results

“

A public benchmark provides guidance, but does not replace an evaluation with your data, tools, budget, and error tolerance.

BenchmarkResultMetricSource
MTEB64,6 %Published averageView source ↗

Inferama only highlights a “best result” when the metric, test set, configuration, and date allow for an equivalent comparison. The supplier's figures are presented as claims from its own source.

06 / VERSIONS

Chronology

text‑embedding‑3‑large

Version added to Inferama's verified catalog.

07 / SOURCES

Traceability