llmboard.aiAI model intelligence
Home

Model Rankings

OverallOpen ModelsAgentCodingReasoningMathKnowledgeInstruction FollowingTextVision
Image GenerationImage Editing
Video GenerationImage to VideoVideo Editing
Text to SpeechSpeech to Text
Embeddings

Efficiency

Chat Token PricingImage PricingVideo PricingAudio Pricing
Chat Speed & LatencyProvider Reliability

Benchmarks

GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-Pro
All Benchmarks

Tools

Model Directory

Scoring & Data

Scoring & Data
1224 models729 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Data & Methods

Scoring MethodAll Benchmarks
llmboard.aiCopyright 2026 llmboard.ai

Sentence Transformers model product

all-mpnet-base-v2

all-mpnet-base-v2 is an embedding model from Sentence Transformers.

Updated Sep 8, 2026. Default version: all-mpnet-base-v2

LLMBoard Embedding Score51.0all-mpnet-base-v2
Coverage85%5 benchmark families
Context window384Tokens
Official input priceN/AOfficial price unavailable

On this page

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

all-mpnet-base-v2 Capability Profile

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

all-mpnet-base-v2 LLMBoard score breakdown

all-mpnet-base-v2 Benchmark Results

Benchmark scores for all-mpnet-base-v2.

5 rows
Columns

Show columns

Sort by
Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkMTEB English v2 RerankingScore48.41%Rank55Participants241Percentile77.50%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 ClassificationScore83.04%Rank89Participants257Percentile65.63%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 ClusteringScore46.55%Rank96Participants217Percentile56.02%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 Semantic SimilarityScore80.36%Rank115Participants211Percentile45.71%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 RetrievalScore44.54%Rank137Participants212Percentile35.55%EvidenceAEvaluatedN/A

all-mpnet-base-v2 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.

all-mpnet-base-v2 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.

all-mpnet-base-v2 Runtime Performance

Provider-specific output speed and catalog latency for all-mpnet-base-v2. 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.

all-mpnet-base-v2 Specifications

Technical details for the model's default version.

Version
all-mpnet-base-v2
Released
Aug 30, 2021
Knowledge cutoff
Unknown
Parameters
109M
Context window
384
Max output
N/A
Inputs
text
Outputs
embedding
Open weights
Yes
License
apache-2.0

all-mpnet-base-v2 Versions

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

1 row
Columns

Show columns

Sort by
Version
Released
LLMBoard
Parameters
Context
Max output
Open weights
License
Versionall-mpnet-base-v2ReleasedAug 30, 2021LLMBoard51.01Parameters109MContext384Max outputN/AOpen weightsYesLicenseapache-2.0

Models similar to all-mpnet-base-v2

Recommendations prioritize the same model type and family, then the closest LLMBoard score.

#183-0.36
ST

multi-qa-MiniLM-L6-cos-v1

Sentence Transformers

50.65 LLMBoard

Details
#184-0.38
ST

sentence-t5-xl

Sentence Transformers

50.63 LLMBoard

Details
#208-2.16
ST

gtr-t5-xxl

Sentence Transformers

48.85 LLMBoard

Details
#211-2.39
ST

gtr-t5-xl

Sentence Transformers

48.62 LLMBoard

Details
#135+3.07
ST

sentence-t5-large

Sentence Transformers

54.08 LLMBoard

Details
#133+3.19
ST

sentence-t5-base

Sentence Transformers

54.20 LLMBoard

Details

What is all-mpnet-base-v2?

Key information about all-mpnet-base-v2 and its available data.

all-mpnet-base-v2 is an embedding model from Sentence Transformers, listed as a ranked model from MTEB.

Data as of 2026-09-08.

FAQ

Common questions about all-mpnet-base-v2.

When was all-mpnet-base-v2 released?

all-mpnet-base-v2's default version was released on Aug 30, 2021.

How much does all-mpnet-base-v2 cost?

No official standard PAYG price is currently available for all-mpnet-base-v2.

Who created all-mpnet-base-v2?

all-mpnet-base-v2 was created by Sentence Transformers.

What is the context window for all-mpnet-base-v2?

The default version has a 384 token context window.

Is all-mpnet-base-v2 open weight?

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

How many API providers offer all-mpnet-base-v2?

No provider offering is currently linked to the default version.

Browse runtime rankings