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

Google model product

siglip-base-patch16-256-multilingual

siglip-base-patch16-256-multilingual is a multilingual embedding model from Google that is ranked on MTEB.

Updated Sep 8, 2026. Default version: siglip-base-patch16-256-multilingual

LLMBoard Embedding Score35.6siglip-base-patch16-256-multilingual
Coverage80%5 benchmark families
Context window64Tokens
Official input priceN/AOfficial price unavailable

On this page

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

siglip-base-patch16-256-multilingual Capability Profile

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

siglip-base-patch16-256-multilingual LLMBoard score breakdown

siglip-base-patch16-256-multilingual Benchmark Results

Benchmark scores for siglip-base-patch16-256-multilingual.

5 rows
Columns

Show columns

Sort by
Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkMIEB English ClassificationScore70.05%Rank21Participants49Percentile58.33%EvidenceAEvaluatedN/A
BenchmarkMIEB English Semantic SimilarityScore51.80%Rank30Participants50Percentile40.82%EvidenceAEvaluatedN/A
BenchmarkMIEB English ClusteringScore74.56%Rank31Participants49Percentile37.50%EvidenceAEvaluatedN/A
BenchmarkViDoRe v3 OverallScore6.17%Rank37Participants40Percentile7.69%EvidenceAEvaluatedN/A
BenchmarkMIEB English MultimodalScore30.98%Rank65Participants84Percentile22.89%EvidenceAEvaluatedN/A

siglip-base-patch16-256-multilingual 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.

siglip-base-patch16-256-multilingual 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.

siglip-base-patch16-256-multilingual Runtime Performance

Provider-specific output speed and catalog latency for siglip-base-patch16-256-multilingual. 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.

siglip-base-patch16-256-multilingual Specifications

Technical details for the model's default version.

Version
siglip-base-patch16-256-multilingual
Released
Jan 8, 2024
Knowledge cutoff
Unknown
Parameters
371M
Context window
64
Max output
N/A
Inputs
image, text
Outputs
embedding
Open weights
Yes
License
apache-2.0

siglip-base-patch16-256-multilingual 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
Versionsiglip-base-patch16-256-multilingualReleasedJan 8, 2024LLMBoard35.62Parameters371MContext64Max outputN/AOpen weightsYesLicenseapache-2.0

Models similar to siglip-base-patch16-256-multilingual

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

#300-0.01
GO

siglip-base-patch16-224

Google

35.61 LLMBoard

Details
#282+3.67
GO

siglip-base-patch16-256

Google

39.29 LLMBoard

Details
#264+6.18
GO

siglip-base-patch16-512

Google

41.80 LLMBoard

Details
#262+6.23
GO

siglip-base-patch16-384

Google

41.85 LLMBoard

Details
#142+17.97
GO

siglip-large-patch16-384

Google

53.59 LLMBoard

Details
#128+18.84
GO

siglip-so400m-patch14-384

Google

54.46 LLMBoard

Details

What is siglip-base-patch16-256-multilingual?

Key information about siglip-base-patch16-256-multilingual and its available data.

siglip-base-patch16-256-multilingual is an embedding model from Google. It is listed as a ranked model on MTEB.

Data as of 2026-09-08.

FAQ

Common questions about siglip-base-patch16-256-multilingual.

When was siglip-base-patch16-256-multilingual released?

siglip-base-patch16-256-multilingual's default version was released on Jan 8, 2024.

How much does siglip-base-patch16-256-multilingual cost?

No official standard PAYG price is currently available for siglip-base-patch16-256-multilingual.

Who created siglip-base-patch16-256-multilingual?

siglip-base-patch16-256-multilingual was created by Google.

What is the context window for siglip-base-patch16-256-multilingual?

The default version has a 64 token context window.

Is siglip-base-patch16-256-multilingual open weight?

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

How many API providers offer siglip-base-patch16-256-multilingual?

No provider offering is currently linked to the default version.

Browse runtime rankings