llmboard.aiAI model intelligence
Home

Model Rankings

OverallOpen ModelsAgentCodingReasoningMathKnowledgeInstruction FollowingTextVision
Image GenerationImage Editing
Video GenerationImage to VideoVideo Editing
Text to SpeechSpeech to Text
Embeddings

Efficiency

Chat Token PricingImage PricingVideo PricingAudio Pricing
Chat Speed & LatencyProvider Reliability

Benchmarks

GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-Pro
All Benchmarks

Tools

Model Directory

Scoring & Data

Scoring & Data
1224 models729 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Data & Methods

Scoring MethodAll Benchmarks
llmboard.aiCopyright 2026 llmboard.ai

Ai Forever model product

sbert_large_mt_nlu_ru

sbert_large_mt_nlu_ru is an embedding model from Ai Forever ranked by MTEB.

Updated Sep 8, 2026. Default version: sbert_large_mt_nlu_ru

LLMBoard Embedding Score11.0sbert_large_mt_nlu_ru
Coverage85%5 benchmark families
Context window512Tokens
Official input priceN/AOfficial price unavailable

On this page

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

sbert_large_mt_nlu_ru Capability Profile

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

sbert_large_mt_nlu_ru LLMBoard score breakdown

sbert_large_mt_nlu_ru Benchmark Results

Benchmark scores for sbert_large_mt_nlu_ru.

5 rows
Columns

Show columns

Sort by
Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkMTEB English v2 Semantic SimilarityScore55.32%Rank204Participants211Percentile3.33%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 RetrievalScore3.82%Rank206Participants212Percentile2.84%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 ClusteringScore30.68%Rank209Participants217Percentile3.70%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 RerankingScore36.64%Rank233Participants241Percentile3.33%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 ClassificationScore53.10%Rank251Participants257Percentile2.34%EvidenceAEvaluatedN/A

sbert_large_mt_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_mt_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_mt_nlu_ru Runtime Performance

Provider-specific output speed and catalog latency for sbert_large_mt_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.

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

sbert_large_mt_nlu_ru Specifications

Technical details for the model's default version.

Version
sbert_large_mt_nlu_ru
Released
May 18, 2021
Knowledge cutoff
Unknown
Parameters
427M
Context window
512
Max output
N/A
Inputs
text
Outputs
embedding
Open weights
Yes
License
not specified

sbert_large_mt_nlu_ru Versions

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

1 row
Columns

Show columns

Sort by
Version
Released
LLMBoard
Parameters
Context
Max output
Open weights
License
Versionsbert_large_mt_nlu_ruReleasedMay 18, 2021LLMBoard10.97Parameters427MContext512Max outputN/AOpen weightsYesLicensenot specified

Models similar to sbert_large_mt_nlu_ru

Recommendations prioritize the same model type and family, then the closest LLMBoard score.

#360-1.10
AF

sbert_large_nlu_ru

Ai Forever

9.87 LLMBoard

Details
#315+18.63
AF

ru-en-RoSBERTa

Ai Forever

29.60 LLMBoard

Details
#357+0.16
DE

rubert-base-cased-sentence

Deeppavlov

11.13 LLMBoard

Details
#356+0.33
DE

distilrubert-small-cased-conversational

Deeppavlov

11.30 LLMBoard

Details
#355+0.67
OI

Marbert-all-nli-triplet-Matryoshka

Omartificial Intelligence Space

11.64 LLMBoard

Details
#354+0.88
OI

Arabert-all-nli-triplet-Matryoshka

Omartificial Intelligence Space

11.85 LLMBoard

Details

What is sbert_large_mt_nlu_ru?

Key information about sbert_large_mt_nlu_ru and its available data.

sbert_large_mt_nlu_ru is an embedding model from Ai Forever. It is a ranked model in MTEB.

Data as of 2026-09-08.

FAQ

Common questions about sbert_large_mt_nlu_ru.

When was sbert_large_mt_nlu_ru released?

sbert_large_mt_nlu_ru's default version was released on May 18, 2021.

How much does sbert_large_mt_nlu_ru cost?

No official standard PAYG price is currently available for sbert_large_mt_nlu_ru.

Who created sbert_large_mt_nlu_ru?

sbert_large_mt_nlu_ru was created by Ai Forever.

What is the context window for sbert_large_mt_nlu_ru?

The default version has a 512 token context window.

Is sbert_large_mt_nlu_ru open weight?

Yes. The default version is marked as open weight under not specified.

How many API providers offer sbert_large_mt_nlu_ru?

No provider offering is currently linked to the default version.

Browse runtime rankings