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Facebook model product

dinov2-giant

Ranked model from MTEB.

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

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LLMBoard Embedding Score53.0dinov2-giant
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-giant Capability Profile

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

dinov2-giant LLMBoard score breakdown

dinov2-giant Benchmark Results

Benchmark scores for dinov2-giant.

3 rows
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Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkMIEB(eng) ClassificationScore78.9%Rank01Participants48PercentileN/AEvidenceAEvaluatedAug 18, 2026
BenchmarkMIEB(eng) ClusteringScore81.4%Rank18Participants48PercentileN/AEvidenceAEvaluatedAug 18, 2026
BenchmarkMIEB(eng) Semantic SimilarityScore15.0%Rank44Participants48PercentileN/AEvidenceAEvaluatedAug 18, 2026

dinov2-giant 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-giant 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-giant Runtime Performance

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

Technical details for the model's default version.

Version
dinov2-giant
Released
Jul 18, 2023
Knowledge cutoff
Unknown
Parameters
1.1B
Context window
N/A
Max output
N/A
Inputs
image
Outputs
embedding
Open weights
Yes
License
apache-2.0

dinov2-giant 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
License
Versiondinov2-giantReleasedJul 18, 2023LLMBoard53.0Parameters1.1BContextN/AMax outputN/AOpen weightsYesLicenseapache-2.0

dinov2-giant vs nearby models

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

dinov2-giantvsmxbai-embed-2d-large-v1dinov2-giantvsCLIP-ViT-B-16-DataComp.XL-s13B-b90Kdinov2-giantvsgte-base-en-v1.5dinov2-giantvsgme-Qwen2-VL-2B-Instructdinov2-giantvsgranite-embedding-311m-multilingual-r2dinov2-giantvsNano-Em1-0.6B-v2

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What is dinov2-giant?

Key information about dinov2-giant and its available data.

Ranked model from MTEB.

Data as of 2026-08-17.

FAQ

Common questions about dinov2-giant.

When was dinov2-giant released?

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

How much does dinov2-giant cost?

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

Who created dinov2-giant?

dinov2-giant was created by Facebook.

What is the context window for dinov2-giant?

A context window is not available for the default version.

Is dinov2-giant open weight?

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

How many API providers offer dinov2-giant?

No provider offering is currently linked to the default version.

What models should I compare dinov2-giant with?

Nearby ranked alternatives include mxbai-embed-2d-large-v1, CLIP-ViT-B-16-DataComp.XL-s13B-b90K, gte-base-en-v1.5.