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llmboard.aiCopyright 2026 llmboard.ai

Tevatron model product

OmniEmbed-v0.1

An embedding model from Tevatron ranked on MTEB.

Updated Sep 8, 2026. Default version: OmniEmbed-v0.1

LLMBoard Embedding Score38.8OmniEmbed-v0.1
Coverage85%5 benchmark families
Context window32.8KTokens
Official input priceN/AOfficial price unavailable

On this page

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

OmniEmbed-v0.1 Capability Profile

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

OmniEmbed-v0.1 LLMBoard score breakdown

OmniEmbed-v0.1 Benchmark Results

Benchmark scores for OmniEmbed-v0.1.

5 rows
Columns

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Sort by
Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkMTEB English v2 RetrievalScore52.16%Rank91Participants212Percentile57.35%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 ClusteringScore46.65%Rank93Participants217Percentile57.41%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 RerankingScore45.09%Rank167Participants241Percentile30.83%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 Semantic SimilarityScore68.33%Rank195Participants211Percentile7.62%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 ClassificationScore67.88%Rank240Participants257Percentile6.64%EvidenceAEvaluatedN/A

OmniEmbed-v0.1 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.

OmniEmbed-v0.1 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.

OmniEmbed-v0.1 Runtime Performance

Provider-specific output speed and catalog latency for OmniEmbed-v0.1. 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.

OmniEmbed-v0.1 Specifications

Technical details for the model's default version.

Version
OmniEmbed-v0.1
Released
Apr 12, 2025
Knowledge cutoff
Unknown
Parameters
8.9B
Context window
32.8K
Max output
N/A
Inputs
text, image, audio, video
Outputs
embedding
Open weights
Yes
License
mit

OmniEmbed-v0.1 Versions

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

1 row
Columns

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Version
Released
LLMBoard
Parameters
Context
Max output
Open weights
License
VersionOmniEmbed-v0.1ReleasedApr 12, 2025LLMBoard38.77Parameters8.9BContext32.8KMax outputN/AOpen weightsYesLicensemit

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What is OmniEmbed-v0.1?

Key information about OmniEmbed-v0.1 and its available data.

1 is an embedding model from Tevatron. It is ranked on MTEB.

Data as of 2026-09-08.

FAQ

Common questions about OmniEmbed-v0.1.

When was OmniEmbed-v0.1 released?

OmniEmbed-v0.1's default version was released on Apr 12, 2025.

How much does OmniEmbed-v0.1 cost?

No official standard PAYG price is currently available for OmniEmbed-v0.1.

Who created OmniEmbed-v0.1?

OmniEmbed-v0.1 was created by Tevatron.

What is the context window for OmniEmbed-v0.1?

The default version has a 32.8K token context window.

Is OmniEmbed-v0.1 open weight?

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

How many API providers offer OmniEmbed-v0.1?

No provider offering is currently linked to the default version.

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