Google model product
text-multilingual-embedding-002
text-multilingual-embedding-002 is a Google embedding model listed as a ranked model from MTEB.
Updated Oct 23, 2026. Default version: text-multilingual-embedding-002
LLMBoard Embedding Score69.3text-multilingual-embedding-002
Coverage85%5 benchmark families
Context window2KTokens
Official input priceN/AOfficial price unavailable
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 Benchmark Results
Benchmark scores for text-multilingual-embedding-002.
Sort by
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkMTEB English v2 Semantic Similarity | Score83.94% | Rank42 | Participants215 | Percentile80.84% | EvidenceA | EvaluatedN/A |
| BenchmarkMTEB English v2 Classification | Score85.62% | Rank53 | Participants261 | Percentile80.00% | EvidenceA | EvaluatedN/A |
| BenchmarkMTEB English v2 Clustering | Score50.41% | Rank56 | Participants221 | Percentile75.00% | EvidenceA | EvaluatedN/A |
| BenchmarkMTEB English v2 Retrieval | Score54.70% | Rank71 | Participants218 | Percentile67.74% | EvidenceA | EvaluatedN/A |
| BenchmarkMTEB English v2 Reranking | Score47.48% | Rank86 | Participants244 | Percentile65.02% | EvidenceA | EvaluatedN/A |
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.
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.
Sort by
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| Versiontext-multilingual-embedding-002 | Released | LLMBoard69.28 | ParametersN/A | Context2K | Max outputN/A | Open weightsNo | LicenseUnspecified |
Models similar to text-multilingual-embedding-002
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
GO
Google
embeddinggemma-300m
GOGoogle
embeddinggemma-2
GOGoogle
text-embedding-004
GOGoogle
text-embedding-005
GOGoogle
siglip-large-patch16-256
GOGoogle
Gemini Embedding 001
What is text-multilingual-embedding-002?
Key information about text-multilingual-embedding-002 and its available data.
text-multilingual-embedding-002 is an embedding model from Google. It is listed as a ranked model from MTEB.
Data as of 2026-10-22.
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.