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 DirectoryCompare Models

Scoring & Data

Scoring & Data
393 models668 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 BenchmarksReasoningMath

Vendors

All VendorsOpenAIAnthropicGoogle
llmboard.aiCopyright 2026 llmboard.ai

Tiger Lab model product

VLM2Vec-Full

Ranked model from MTEB.

Updated Aug 18, 2026. Default version: VLM2Vec-Full

Compare
LLMBoard Embedding Score41.9VLM2Vec-Full
Coverage50%4 benchmark families
Context window131.1KTokens
Official input priceN/AOfficial price unavailable

On this page

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

VLM2Vec-Full Capability Profile

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

VLM2Vec-Full LLMBoard score breakdown

VLM2Vec-Full Benchmark Results

Benchmark scores for VLM2Vec-Full.

4 rows
Columns

Show columns

Sort by
Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkMIEB(eng) Semantic SimilarityScore54.0%Rank16Participants48PercentileN/AEvidenceAEvaluatedAug 18, 2026
BenchmarkMIEB(eng) ClusteringScore70.7%Rank39Participants48PercentileN/AEvidenceAEvaluatedAug 18, 2026
BenchmarkMIEB(eng) ClassificationScore54.1%Rank44Participants48PercentileN/AEvidenceAEvaluatedAug 18, 2026
BenchmarkMIEB(eng) MultimodalScore38.7%Rank54Participants83PercentileN/AEvidenceAEvaluatedAug 18, 2026

VLM2Vec-Full 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.

VLM2Vec-Full 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.

VLM2Vec-Full Runtime Performance

Provider-specific output speed and catalog latency for VLM2Vec-Full. 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.

VLM2Vec-Full Specifications

Technical details for the model's default version.

Version
VLM2Vec-Full
Released
Oct 8, 2024
Knowledge cutoff
Unknown
Parameters
4.1B
Context window
131.1K
Max output
N/A
Inputs
image, text
Outputs
embedding
Open weights
Yes
License
apache-2.0

VLM2Vec-Full Versions

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

1 rows
Columns

Show columns

Sort by
Version
Released
LLMBoard
Parameters
Context
Max output
Open weights
License
VersionVLM2Vec-FullReleasedOct 8, 2024LLMBoard41.9Parameters4.1BContext131.1KMax outputN/AOpen weightsYesLicenseapache-2.0

VLM2Vec-Full vs nearby models

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

VLM2Vec-Fullvsbge-m3-custom-frVLM2Vec-Fullvsblip-itm-base-cocoVLM2Vec-Fullvslodestone-base-4096-v1VLM2Vec-FullvsVLM2Vec-LoRAVLM2Vec-Fullvsudever-bloom-3bVLM2Vec-Fullvsgranite-embedding-278m-multilingual

Models similar to VLM2Vec-Full

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

#258-0.3
TL

VLM2Vec-LoRA

Tiger Lab

41.6 LLMBoard

DetailsCompare
#256+0.2
HW

lodestone-base-4096-v1

Hum Works

42.1 LLMBoard

DetailsCompare
#255+0.4
SA

blip-itm-base-coco

Salesforce

42.4 LLMBoard

DetailsCompare
#259-0.4
IZ

udever-bloom-3b

Izhx

41.5 LLMBoard

DetailsCompare
#260-0.5
IG

granite-embedding-278m-multilingual

Ibm Granite

41.4 LLMBoard

DetailsCompare
#261-0.5
OR

Solon-embeddings-large-0.1

Ordalietech

41.4 LLMBoard

DetailsCompare

What is VLM2Vec-Full?

Key information about VLM2Vec-Full and its available data.

Ranked model from MTEB.

Data as of 2026-08-17.

FAQ

Common questions about VLM2Vec-Full.

When was VLM2Vec-Full released?

VLM2Vec-Full's default version was released on Oct 8, 2024.

How much does VLM2Vec-Full cost?

No official standard PAYG price is currently available for VLM2Vec-Full.

Who created VLM2Vec-Full?

VLM2Vec-Full was created by Tiger Lab.

What is the context window for VLM2Vec-Full?

The default version has a 131.1K token context window.

Is VLM2Vec-Full open weight?

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

How many API providers offer VLM2Vec-Full?

No provider offering is currently linked to the default version.

What models should I compare VLM2Vec-Full with?

Nearby ranked alternatives include bge-m3-custom-fr, blip-itm-base-coco, lodestone-base-4096-v1.