LLM Reference

Granite Embedding Models by IBM Research

2 models2026Up to 33k ctx

Details

ResearcherIBM Research
Models2
Released2026
Max context33k

About

IBM Granite family of text embedding models for semantic search and retrieval tasks. Supports English and multilingual variants across multiple parameter sizes.

Current Variants

Use-when guidance is derived from seed capabilities, context, release, and replacement fields.

2 in view

Use when the workload needs embedding, 33k context, and 311M parameters.

2026-04embedding33k context311M parameters

Use when the workload needs embedding, 33k context, and 97M parameters.

2026-04embedding33k context97M parameters

Release Timeline

1 release group
2026-04
2 current
Granite Embedding 311M Multilingual R2
embedding33k context311M parameters
Current
Granite Embedding 97M Multilingual R2
embedding33k context97M parameters
Current

Specifications(2 models)

Granite Embedding model specifications comparison
ModelReleasedContextParameters
Granite Embedding 311M Multilingual R22026-0433k311M
Granite Embedding 97M Multilingual R22026-0433k97M

Frequently Asked Questions

What is Granite Embedding used for?
Granite Embedding is used for embedding and coding. The family description and listed model capabilities point to those workloads as the best fit.
How does Granite Embedding compare to Granite 4?
Granite Embedding by IBM Research is strongest where you need embedding, while Granite 4 by IBM Research is the closest related family to check for audio. Granite Embedding has 2 listed variants and reaches up to 33k context, while Granite 4 reaches up to 131k context, so compare the specs and pricing tables before choosing a production model.
Which Granite Embedding model should I use?
If price is the main constraint, use the pricing table first because Granite Embedding does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate Granite Embedding 311M Multilingual R2 with 33k context.