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OpenAI model product

text-embedding-3-large

text-embedding-3-large is an embedding model from OpenAI.

Updated Sep 8, 2026. Default version: text-embedding-3-large

LLMBoard Embedding Score61.7text-embedding-3-large
Coverage75%4 benchmark families
Context window8.2KTokens
Official input priceN/AOfficial price unavailable

On this page

  • Capability
  • Benchmarks
  • Arena
  • Pricing
  • Runtime
  • Specification
  • Versions
  • Similar models
  • About
  • FAQ

text-embedding-3-large Capability Profile

This profile uses the model's current scored version. Arena ratings and prices are shown separately.

text-embedding-3-large LLMBoard score breakdown

text-embedding-3-large Benchmark Results

Benchmark scores for text-embedding-3-large.

4 rows
Columns

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Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkMTEB English v2 RetrievalScore57.98%Rank41Participants212Percentile81.04%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 ClusteringScore48.90%Rank60Participants217Percentile72.69%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 Semantic SimilarityScore81.45%Rank93Participants211Percentile56.19%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 ClassificationScore79.15%Rank158Participants257Percentile38.67%EvidenceAEvaluatedN/A

text-embedding-3-large Arena Results

Preference and agent-evaluation results for the default version.

No Arena results

The default version does not have a matching Arena result yet.

text-embedding-3-large Pricing

Official vendor API pricing appears first, followed by individual provider offers.

Official API
N/A
Official provider
N/A
Lowest third-party
N/A
Tracked offerings
0
No provider prices

The default version has no current input or output token prices.

Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.

text-embedding-3-large Runtime Performance

Provider-specific output speed and catalog latency for text-embedding-3-large. Runtime does not affect the capability score.

No runtime data

No provider-specific speed or latency record is linked to the default version yet.

Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.

text-embedding-3-large Specifications

Technical details for the model's default version.

Version
text-embedding-3-large
Released
Jan 25, 2024
Knowledge cutoff
Unknown
Parameters
N/A
Context window
8.2K
Max output
N/A
Inputs
text
Outputs
embedding
Open weights
No
License
Unspecified

text-embedding-3-large Versions

Available versions of this model. The score column identifies the version used in the overall ranking.

1 row
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Version
Released
LLMBoard
Parameters
Context
Max output
Open weights
License
Versiontext-embedding-3-largeReleasedJan 25, 2024LLMBoard61.67ParametersN/AContext8.2KMax outputN/AOpen weightsNoLicenseUnspecified

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Details

What is text-embedding-3-large?

Key information about text-embedding-3-large and its available data.

text-embedding-3-large is an OpenAI embedding model listed as a ranked model from MTEB.

Data as of 2026-09-08.

FAQ

Common questions about text-embedding-3-large.

When was text-embedding-3-large released?

text-embedding-3-large's default version was released on Jan 25, 2024.

How much does text-embedding-3-large cost?

No official standard PAYG price is currently available for text-embedding-3-large.

Who created text-embedding-3-large?

text-embedding-3-large was created by OpenAI.

What is the context window for text-embedding-3-large?

The default version has a 8.2K token context window.

Is text-embedding-3-large open weight?

No. The default version is not marked as having publicly available weights.

How many API providers offer text-embedding-3-large?

No provider offering is currently linked to the default version.

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