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Ai Forever model product

sbert_large_nlu_ru

Ranked model from MTEB.

Updated Aug 18, 2026. Default version: sbert_large_nlu_ru

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LLMBoard Embedding Score9.9sbert_large_nlu_ru
Coverage85%5 benchmark families
Context window512Tokens
Official input priceN/AOfficial price unavailable

On this page

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

sbert_large_nlu_ru Capability Profile

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

sbert_large_nlu_ru LLMBoard score breakdown

sbert_large_nlu_ru Benchmark Results

Benchmark scores for sbert_large_nlu_ru.

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Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkMTEB(eng, v2) Semantic SimilarityScore47.7%Rank203Participants207PercentileN/AEvidenceAEvaluatedAug 18, 2026
BenchmarkMTEB(eng, v2) RetrievalScore3.2%Rank204Participants208PercentileN/AEvidenceAEvaluatedAug 18, 2026
BenchmarkMTEB(eng, v2) ClusteringScore30.5%Rank207Participants213PercentileN/AEvidenceAEvaluatedAug 18, 2026
BenchmarkMTEB(eng, v2) RerankingScore35.3%Rank235Participants237PercentileN/AEvidenceAEvaluatedAug 18, 2026
BenchmarkMTEB(eng, v2) ClassificationScore49.3%Rank251Participants253PercentileN/AEvidenceAEvaluatedAug 18, 2026

sbert_large_nlu_ru 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.

sbert_large_nlu_ru 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.

sbert_large_nlu_ru Runtime Performance

Provider-specific output speed and catalog latency for sbert_large_nlu_ru. 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.

sbert_large_nlu_ru Specifications

Technical details for the model's default version.

Version
sbert_large_nlu_ru
Released
Nov 20, 2020
Knowledge cutoff
Unknown
Parameters
427M
Context window
512
Max output
N/A
Inputs
text
Outputs
embedding
Open weights
Yes
License
mit

sbert_large_nlu_ru 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
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Max output
Open weights
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Versionsbert_large_nlu_ruReleasedNov 20, 2020LLMBoard9.9Parameters427MContext512Max outputN/AOpen weightsYesLicensemit

sbert_large_nlu_ru vs nearby models

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

sbert_large_nlu_ruvsrubert-base-cased-sentencesbert_large_nlu_ruvssbert_large_mt_nlu_rusbert_large_nlu_ruvsrubert-base-casedsbert_large_nlu_ruvsdeberta-v1-basesbert_large_nlu_ruvsternary-weight-embeddingsbert_large_nlu_ruvsbaseline-random-encoder

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What is sbert_large_nlu_ru?

Key information about sbert_large_nlu_ru and its available data.

Ranked model from MTEB.

Data as of 2026-08-17.

FAQ

Common questions about sbert_large_nlu_ru.

When was sbert_large_nlu_ru released?

sbert_large_nlu_ru's default version was released on Nov 20, 2020.

How much does sbert_large_nlu_ru cost?

No official standard PAYG price is currently available for sbert_large_nlu_ru.

Who created sbert_large_nlu_ru?

sbert_large_nlu_ru was created by Ai Forever.

What is the context window for sbert_large_nlu_ru?

The default version has a 512 token context window.

Is sbert_large_nlu_ru open weight?

Yes. The default version is marked as open weight under mit.

How many API providers offer sbert_large_nlu_ru?

No provider offering is currently linked to the default version.

What models should I compare sbert_large_nlu_ru with?

Nearby ranked alternatives include rubert-base-cased-sentence, sbert_large_mt_nlu_ru, rubert-base-cased.