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Mixedbread Ai model product

mxbai-embed-large-v1

mxbai-embed-large-v1 is an embedding model from Mixedbread Ai ranked in MTEB.

Updated Sep 8, 2026. Default version: mxbai-embed-large-v1

LLMBoard Embedding Score68.0mxbai-embed-large-v1
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

mxbai-embed-large-v1 Capability Profile

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

mxbai-embed-large-v1 LLMBoard score breakdown

mxbai-embed-large-v1 Benchmark Results

Benchmark scores for mxbai-embed-large-v1.

5 rows
Columns

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Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkMTEB English v2 Semantic SimilarityScore84.42%Rank34Participants211Percentile84.29%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 RetrievalScore55.40%Rank60Participants212Percentile72.04%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 RerankingScore48.05%Rank65Participants241Percentile73.33%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 ClusteringScore47.48%Rank82Participants217Percentile62.50%EvidenceAEvaluatedN/A
BenchmarkMTEB English v2 ClassificationScore83.15%Rank87Participants257Percentile66.41%EvidenceAEvaluatedN/A

mxbai-embed-large-v1 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.

mxbai-embed-large-v1 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.

mxbai-embed-large-v1 Runtime Performance

Provider-specific output speed and catalog latency for mxbai-embed-large-v1. 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.

mxbai-embed-large-v1 Specifications

Technical details for the model's default version.

Version
mxbai-embed-large-v1
Released
Mar 7, 2024
Knowledge cutoff
Unknown
Parameters
335M
Context window
512
Max output
N/A
Inputs
text
Outputs
embedding
Open weights
Yes
License
apache-2.0

mxbai-embed-large-v1 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
Versionmxbai-embed-large-v1ReleasedMar 7, 2024LLMBoard68.02Parameters335MContext512Max outputN/AOpen weightsYesLicenseapache-2.0

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Details

What is mxbai-embed-large-v1?

Key information about mxbai-embed-large-v1 and its available data.

mxbai-embed-large-v1 is an embedding model from Mixedbread Ai. It is ranked in MTEB.

Data as of 2026-09-08.

FAQ

Common questions about mxbai-embed-large-v1.

When was mxbai-embed-large-v1 released?

mxbai-embed-large-v1's default version was released on Mar 7, 2024.

How much does mxbai-embed-large-v1 cost?

No official standard PAYG price is currently available for mxbai-embed-large-v1.

Who created mxbai-embed-large-v1?

mxbai-embed-large-v1 was created by Mixedbread Ai.

What is the context window for mxbai-embed-large-v1?

The default version has a 512 token context window.

Is mxbai-embed-large-v1 open weight?

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

How many API providers offer mxbai-embed-large-v1?

No provider offering is currently linked to the default version.

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