Lajavaness model product
bilingual-embedding-large
Ranked model from MTEB.
Updated Aug 18, 2026. Default version: bilingual-embedding-large
LLMBoard Embedding Score55.1bilingual-embedding-large
Coverage85%5 benchmark families
Context window514Tokens
Official input priceN/AOfficial price unavailable
bilingual-embedding-large Capability Profile
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
bilingual-embedding-large Benchmark Results
Benchmark scores for bilingual-embedding-large.
Sort by
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkMTEB(eng, v2) Semantic Similarity | Score86.0% | Rank14 | Participants207 | PercentileN/A | EvidenceA | Evaluated |
| BenchmarkMTEB(eng, v2) Clustering | Score46.5% | Rank95 | Participants213 | PercentileN/A | EvidenceA | Evaluated |
| BenchmarkMTEB(eng, v2) Classification | Score81.4% | Rank113 | Participants253 | PercentileN/A | EvidenceA | Evaluated |
| BenchmarkMTEB(eng, v2) Retrieval | Score46.9% | Rank124 | Participants208 | PercentileN/A | EvidenceA | Evaluated |
| BenchmarkMTEB(eng, v2) Reranking | Score46.2% | Rank124 | Participants237 | PercentileN/A | EvidenceA | Evaluated |
bilingual-embedding-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.
bilingual-embedding-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.
bilingual-embedding-large Runtime Performance
Provider-specific output speed and catalog latency for bilingual-embedding-large. Runtime does not affect the capability score.
No runtime data
Browse runtime rankingsNo 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.
bilingual-embedding-large Specifications
Technical details for the model's default version.
- Version
- bilingual-embedding-large
- Released
- Jun 24, 2024
- Knowledge cutoff
- Unknown
- Parameters
- 560M
- Context window
- 514
- Max output
- N/A
- Inputs
- text
- Outputs
- embedding
- Open weights
- Yes
- License
- apache-2.0
bilingual-embedding-large 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 |
|---|
| Versionbilingual-embedding-large | Released | LLMBoard55.1 | Parameters560M | Context514 | Max outputN/A | Open weightsYes | Licenseapache-2.0 |
bilingual-embedding-large vs nearby models
Open a comparison with the three ranked models immediately above and below this model.
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What is bilingual-embedding-large?
Key information about bilingual-embedding-large and its available data.
Ranked model from MTEB.
Data as of 2026-08-17.
FAQ
Common questions about bilingual-embedding-large.
When was bilingual-embedding-large released?
bilingual-embedding-large's default version was released on Jun 24, 2024.
How much does bilingual-embedding-large cost?
No official standard PAYG price is currently available for bilingual-embedding-large.
Who created bilingual-embedding-large?
bilingual-embedding-large was created by Lajavaness.
What is the context window for bilingual-embedding-large?
The default version has a 514 token context window.
Is bilingual-embedding-large open weight?
Yes. The default version is marked as open weight under apache-2.0.
How many API providers offer bilingual-embedding-large?
No provider offering is currently linked to the default version.
What models should I compare bilingual-embedding-large with?
Nearby ranked alternatives include ember-v1, mdbr-leaf-mt, b1ade-embed.