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Mihaiii model product

Venusaur

Venusaur is an embedding model from Mihaiii that is ranked on MTEB.

Updated Sep 8, 2026. Default version: Venusaur

LLMBoard Embedding Score21.9Venusaur
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

Venusaur Capability Profile

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

Venusaur LLMBoard score breakdown

Venusaur Benchmark Results

Benchmark scores for Venusaur.

5 rows
Columns

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Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkMTEB English v2 Semantic SimilarityScore72.30%Rank179Participants211Percentile15.24%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 ClassificationScore76.49%Rank184Participants257Percentile28.52%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 RetrievalScore25.24%Rank186Participants212Percentile12.32%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 ClusteringScore37.30%Rank188Participants217Percentile13.43%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 RerankingScore41.85%Rank204Participants241Percentile15.42%EvidenceAEvaluatedN/A

Venusaur 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.

Venusaur 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.

Venusaur Runtime Performance

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

Venusaur Specifications

Technical details for the model's default version.

Version
Venusaur
Released
Apr 29, 2024
Knowledge cutoff
Unknown
Parameters
16M
Context window
512
Max output
N/A
Inputs
text
Outputs
embedding
Open weights
Yes
License
mit

Venusaur 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
VersionVenusaurReleasedApr 29, 2024LLMBoard21.95Parameters16MContext512Max outputN/AOpen weightsYesLicensemit

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What is Venusaur?

Key information about Venusaur and its available data.

Venusaur is an embedding model from Mihaiii. It is a ranked model from MTEB.

Data as of 2026-09-08.

FAQ

Common questions about Venusaur.

When was Venusaur released?

Venusaur's default version was released on Apr 29, 2024.

How much does Venusaur cost?

No official standard PAYG price is currently available for Venusaur.

Who created Venusaur?

Venusaur was created by Mihaiii.

What is the context window for Venusaur?

The default version has a 512 token context window.

Is Venusaur open weight?

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

How many API providers offer Venusaur?

No provider offering is currently linked to the default version.

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