Lajavaness model product
bilingual-embedding-large
bilingual-embedding-large is an embedding model from Lajavaness.
Updated Sep 8, 2026. Default version: bilingual-embedding-large
LLMBoard Embedding Score54.8bilingual-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 English v2 Semantic Similarity | Score86.00% | Rank14 | Participants211 | Percentile93.81% | EvidenceA | EvaluatedN/A |
| BenchmarkMTEB English v2 Clustering | Score46.53% | Rank98 | Participants217 | Percentile55.09% | EvidenceA | EvaluatedN/A |
| BenchmarkMTEB English v2 Classification | Score81.40% | Rank116 | Participants257 | Percentile55.08% | EvidenceA | EvaluatedN/A |
| BenchmarkMTEB English v2 Reranking | Score46.25% | Rank127 | Participants241 | Percentile47.50% | EvidenceA | EvaluatedN/A |
| BenchmarkMTEB English v2 Retrieval | Score46.86% | Rank127 | Participants212 | Percentile40.28% | EvidenceA | EvaluatedN/A |
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
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.
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 | LLMBoard54.82 | Parameters560M | Context514 | Max outputN/A | Open weightsYes | Licenseapache-2.0 |
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What is bilingual-embedding-large?
Key information about bilingual-embedding-large and its available data.
bilingual-embedding-large is an embedding model from Lajavaness described as a ranked model from MTEB.
Data as of 2026-09-08.
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.