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Maniaclabs model product

miniac-embed

miniac-embed is an embedding model from Maniaclabs that is ranked on MTEB.

Updated Oct 23, 2026. Default version: miniac-embed

LLMBoard Embedding Score47.6miniac-embed
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

miniac-embed Capability Profile

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

miniac-embed LLMBoard score breakdown

miniac-embed Benchmark Results

Benchmark scores for miniac-embed.

5 rows
Columns

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Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkMTEB English v2 Semantic SimilarityScore82.81%Rank61Participants215Percentile71.96%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 ClusteringScore45.85%Rank113Participants221Percentile49.09%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 RerankingScore46.36%Rank127Participants244Percentile48.15%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 RetrievalScore45.00%Rank142Participants218Percentile35.02%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 ClassificationScore79.96%Rank147Participants261Percentile43.85%EvidenceAEvaluatedN/A

miniac-embed 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.

miniac-embed 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.

miniac-embed Runtime Performance

Provider-specific output speed and catalog latency for miniac-embed. 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.

miniac-embed Specifications

Technical details for the model's default version.

Version
miniac-embed
Released
Feb 19, 2026
Knowledge cutoff
Unknown
Parameters
33M
Context window
512
Max output
N/A
Inputs
text
Outputs
embedding
Open weights
Yes
License
apache-2.0

miniac-embed Versions

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

1 row
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Version
Released
LLMBoard
Parameters
Context
Max output
Open weights
License
Versionminiac-embedReleasedFeb 19, 2026LLMBoard47.61Parameters33MContext512Max outputN/AOpen weightsYesLicenseapache-2.0

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Details

What is miniac-embed?

Key information about miniac-embed and its available data.

miniac-embed is an embedding model from Maniaclabs. It is listed as a ranked model on MTEB.

Data as of 2026-10-22.

FAQ

Common questions about miniac-embed.

When was miniac-embed released?

miniac-embed's default version was released on Feb 19, 2026.

How much does miniac-embed cost?

No official standard PAYG price is currently available for miniac-embed.

Who created miniac-embed?

miniac-embed was created by Maniaclabs.

What is the context window for miniac-embed?

The default version has a 512 token context window.

Is miniac-embed open weight?

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

How many API providers offer miniac-embed?

No provider offering is currently linked to the default version.

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