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Deepvk model product

deberta-v1-base

Ranked model from MTEB.

Updated Aug 18, 2026. Default version: deberta-v1-base

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LLMBoard Embedding Score9.6deberta-v1-base
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

deberta-v1-base Capability Profile

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

deberta-v1-base LLMBoard score breakdown

deberta-v1-base Benchmark Results

Benchmark scores for deberta-v1-base.

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Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkMTEB(eng, v2) Semantic SimilarityScore46.3%Rank204Participants207PercentileN/AEvidenceAEvaluatedAug 18, 2026
BenchmarkMTEB(eng, v2) RetrievalScore2.1%Rank206Participants208PercentileN/AEvidenceAEvaluatedAug 18, 2026
BenchmarkMTEB(eng, v2) ClusteringScore30.1%Rank209Participants213PercentileN/AEvidenceAEvaluatedAug 18, 2026
BenchmarkMTEB(eng, v2) RerankingScore35.8%Rank233Participants237PercentileN/AEvidenceAEvaluatedAug 18, 2026
BenchmarkMTEB(eng, v2) ClassificationScore51.1%Rank250Participants253PercentileN/AEvidenceAEvaluatedAug 18, 2026

deberta-v1-base 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.

deberta-v1-base 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.

deberta-v1-base Runtime Performance

Provider-specific output speed and catalog latency for deberta-v1-base. 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.

deberta-v1-base Specifications

Technical details for the model's default version.

Version
deberta-v1-base
Released
Feb 7, 2023
Knowledge cutoff
Unknown
Parameters
124M
Context window
512
Max output
N/A
Inputs
text
Outputs
embedding
Open weights
Yes
License
apache-2.0

deberta-v1-base 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
Context
Max output
Open weights
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Versiondeberta-v1-baseReleasedFeb 7, 2023LLMBoard9.6Parameters124MContext512Max outputN/AOpen weightsYesLicenseapache-2.0

deberta-v1-base vs nearby models

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

deberta-v1-basevssbert_large_mt_nlu_rudeberta-v1-basevsrubert-base-caseddeberta-v1-basevssbert_large_nlu_rudeberta-v1-basevsternary-weight-embeddingdeberta-v1-basevsbaseline-random-encoder

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What is deberta-v1-base?

Key information about deberta-v1-base and its available data.

Ranked model from MTEB.

Data as of 2026-08-17.

FAQ

Common questions about deberta-v1-base.

When was deberta-v1-base released?

deberta-v1-base's default version was released on Feb 7, 2023.

How much does deberta-v1-base cost?

No official standard PAYG price is currently available for deberta-v1-base.

Who created deberta-v1-base?

deberta-v1-base was created by Deepvk.

What is the context window for deberta-v1-base?

The default version has a 512 token context window.

Is deberta-v1-base open weight?

Yes. The default version is marked as open weight under apache-2.0.

How many API providers offer deberta-v1-base?

No provider offering is currently linked to the default version.

What models should I compare deberta-v1-base with?

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