Compare model

Embedding

OpenAIText Embedding 3 Small

Cost-efficient text embeddings for high-volume semantic search.

text-embedding-3-small

Best for: Semantic search, RAG and clustering

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Catalog status

Enabled

Research checked

2026-10-07

Benchmark results

2 reported results

Results are source-attributed, not TokenRex measurements. Different tests and thinking variants are not interchangeable.

2 of 2 results

MTEB (English average)

Embedding · Vendor-reported

Test conditions and source

OpenAI release evaluation, January 25, 2024. Published English embedding-task average; not a TokenRex run. Source: “the average score on a commonly used benchmark for English tasks (MTEB) has increased from 61.0% to 62.3%”.

Tested model: text-embedding-3-small

OpenAI · New embedding models and API updates · Checked 2026-10-07

62.3%

MIRACL (multilingual retrieval)

Embedding · Vendor-reported

Test conditions and source

OpenAI release evaluation, January 25, 2024. Published multilingual retrieval average; not a TokenRex run. Source: “the average score on a commonly used benchmark for multi-language retrieval (MIRACL) has increased from 31.4% to 44.0%”.

Tested model: text-embedding-3-small

OpenAI · New embedding models and API updates · Checked 2026-10-07

44%

Model specifications

Input and output modalities

Provider-reported formats; API compatibility is detailed below.

Input

Text

Output

Embeddings
Exact model ID
text-embedding-3-small
Model type
Embedding

Exact token limits are not published in the reviewed sources, so no estimated limits are shown.

Versions and thinking levels

One enabled version is currently listed for this model.

Text Embedding 3 SmallSelected$0.02 per 1M tokens

Features and tool support

TokenRex’s exposed interface, not every feature advertised by the provider. “Available” describes the implemented interface, not a successful test of every input or tool.

Input through TokenRex

Available

Text or a list of texts on POST /v1/embeddings.

Output through TokenRex

Available

A number vector for each input, ready for search and matching.

Function tools

Not exposed

Embedding endpoint only — it returns vectors and does not run tools.

Sources and verification

Provider specifications describe the upstream model, not a guarantee of every feature through TokenRex. Prices come from the enabled catalog; benchmark results belong to the exact tested model.