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Facebook model product

dinov2-large

Ranked model from MTEB.

Updated Aug 18, 2026. Default version: dinov2-large

Compare
LLMBoard Embedding Score53.9dinov2-large
Coverage45%3 benchmark families
Context windowN/ATokens
Official input priceN/AOfficial price unavailable

On this page

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

dinov2-large Capability Profile

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

dinov2-large LLMBoard score breakdown

dinov2-large Benchmark Results

Benchmark scores for dinov2-large.

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Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkMIEB(eng) ClassificationScore78.0%Rank03Participants48PercentileN/AEvidenceAEvaluatedAug 18, 2026
BenchmarkMIEB(eng) ClusteringScore83.1%Rank10Participants48PercentileN/AEvidenceAEvaluatedAug 18, 2026
BenchmarkMIEB(eng) Semantic SimilarityScore13.8%Rank47Participants48PercentileN/AEvidenceAEvaluatedAug 18, 2026

dinov2-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.

dinov2-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.

dinov2-large Runtime Performance

Provider-specific output speed and catalog latency for dinov2-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.

Browse runtime rankings

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

dinov2-large Specifications

Technical details for the model's default version.

Version
dinov2-large
Released
Jul 18, 2023
Knowledge cutoff
Unknown
Parameters
304M
Context window
N/A
Max output
N/A
Inputs
image
Outputs
embedding
Open weights
Yes
License
apache-2.0

dinov2-large 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
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Open weights
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Versiondinov2-largeReleasedJul 18, 2023LLMBoard53.9Parameters304MContextN/AMax outputN/AOpen weightsYesLicenseapache-2.0

dinov2-large vs nearby models

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

dinov2-largevssentence-t5-largedinov2-largevssnowflake-arctic-embed-m-longdinov2-largevsvoyage-code-3dinov2-largevsdinov2-basedinov2-largevsKaLM-embedding-multilingual-mini-instruct-v1.5dinov2-largevsLLM2Vec-Llama-2-7b-chat-hf-mntp-supervised

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What is dinov2-large?

Key information about dinov2-large and its available data.

Ranked model from MTEB.

Data as of 2026-08-17.

FAQ

Common questions about dinov2-large.

When was dinov2-large released?

dinov2-large's default version was released on Jul 18, 2023.

How much does dinov2-large cost?

No official standard PAYG price is currently available for dinov2-large.

Who created dinov2-large?

dinov2-large was created by Facebook.

What is the context window for dinov2-large?

A context window is not available for the default version.

Is dinov2-large open weight?

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

How many API providers offer dinov2-large?

No provider offering is currently linked to the default version.

What models should I compare dinov2-large with?

Nearby ranked alternatives include sentence-t5-large, snowflake-arctic-embed-m-long, voyage-code-3.