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Google model product

text-multilingual-embedding-002

Ranked model from MTEB.

Updated Aug 18, 2026. Default version: text-multilingual-embedding-002

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LLMBoard Embedding Score70.1text-multilingual-embedding-002
Coverage85%5 benchmark families
Context window2KTokens
Official input priceN/AOfficial price unavailable

On this page

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

text-multilingual-embedding-002 Capability Profile

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

text-multilingual-embedding-002 LLMBoard score breakdown

text-multilingual-embedding-002 Benchmark Results

Benchmark scores for text-multilingual-embedding-002.

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Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkMTEB(eng, v2) Semantic SimilarityScore83.9%Rank40Participants207PercentileN/AEvidenceAEvaluatedAug 18, 2026
BenchmarkMTEB(eng, v2) ClassificationScore85.6%Rank50Participants253PercentileN/AEvidenceAEvaluatedAug 18, 2026
BenchmarkMTEB(eng, v2) ClusteringScore50.4%Rank52Participants213PercentileN/AEvidenceAEvaluatedAug 18, 2026
BenchmarkMTEB(eng, v2) RetrievalScore54.7%Rank64Participants208PercentileN/AEvidenceAEvaluatedAug 18, 2026
BenchmarkMTEB(eng, v2) RerankingScore47.5%Rank82Participants237PercentileN/AEvidenceAEvaluatedAug 18, 2026

text-multilingual-embedding-002 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-multilingual-embedding-002 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-multilingual-embedding-002 Runtime Performance

Provider-specific output speed and catalog latency for text-multilingual-embedding-002. Runtime does not affect the capability score.

No runtime data

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

Browse runtime rankings

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

text-multilingual-embedding-002 Specifications

Technical details for the model's default version.

Version
text-multilingual-embedding-002
Released
May 14, 2024
Knowledge cutoff
Unknown
Parameters
N/A
Context window
2K
Max output
N/A
Inputs
text
Outputs
embedding
Open weights
No
License
Unspecified

text-multilingual-embedding-002 Versions

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

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Version
Released
LLMBoard
Parameters
Context
Max output
Open weights
License
Versiontext-multilingual-embedding-002ReleasedMay 14, 2024LLMBoard70.1ParametersN/AContext2KMax outputN/AOpen weightsNoLicenseUnspecified

text-multilingual-embedding-002 vs nearby models

Open a comparison with the three ranked models immediately above and below this model.

text-multilingual-embedding-002vsGritLM-7Btext-multilingual-embedding-002vsgte-Qwen1.5-7B-instructtext-multilingual-embedding-002vsUAE-Large-V1text-multilingual-embedding-002vsjina-embeddings-v5-omni-nanotext-multilingual-embedding-002vsGIST-large-Embedding-v0text-multilingual-embedding-002vsjina-embeddings-v3

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What is text-multilingual-embedding-002?

Key information about text-multilingual-embedding-002 and its available data.

Ranked model from MTEB.

Data as of 2026-08-17.

FAQ

Common questions about text-multilingual-embedding-002.

When was text-multilingual-embedding-002 released?

text-multilingual-embedding-002's default version was released on May 14, 2024.

How much does text-multilingual-embedding-002 cost?

No official standard PAYG price is currently available for text-multilingual-embedding-002.

Who created text-multilingual-embedding-002?

text-multilingual-embedding-002 was created by Google.

What is the context window for text-multilingual-embedding-002?

The default version has a 2K token context window.

Is text-multilingual-embedding-002 open weight?

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

How many API providers offer text-multilingual-embedding-002?

No provider offering is currently linked to the default version.

What models should I compare text-multilingual-embedding-002 with?

Nearby ranked alternatives include GritLM-7B, gte-Qwen1.5-7B-instruct, UAE-Large-V1.