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Wholembed v3
About Wholembed v3
Wholembed v3 is an AI model developed by Mixedbread, in the embedding category, released in 2026, made available as a proprietary (API-only) model. A unified omnimodal multilingual late-interaction retrieval model covering text, images, PDFs, audio and video across 10.
On this page you'll find Wholembed v3's full specifications. Review provider pricing and benchmark scores below, or compare Wholembed v3 head-to-head with other embedding models.
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Frequently asked questions
What is Wholembed v3? ▶
A unified omnimodal multilingual late-interaction retrieval model covering text, images, PDFs, audio and video across 10 It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created Wholembed v3? ▶
Wholembed v3 was developed by Mixedbread and released in 2026.
Is Wholembed v3 open source or proprietary? ▶
Wholembed v3 is a proprietary model. It is accessed through an API rather than by downloading the weights.
How much does Wholembed v3 cost? ▶
Pricing for Wholembed v3 depends on the provider. See the providers table on this page for the latest API rates.
How does Wholembed v3 perform on benchmarks? ▶
Benchmark scores for Wholembed v3 are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.
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