LLM Reference

Granite Embedding 311M Multilingual R2

Released
2026-04-29
Last refreshed
2026-04-30
Status
Researched 45d ago
Open Weights

Granite Embedding 311M Multilingual R2 has model metadata, but missing tracked provider pricing keeps it from being a default production pick.

Use it for

  • Teams evaluating general LLM work
  • Workloads that can use a 33k context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Released
2026-04-29
Context
33k
Parameters
311M
Specialization
embedding
Openness
Open weights
Created by

Creating reliable and adaptable AI solutions

Armonk, New York, United States
Founded 1945
Website
Pricing

No tracked provider token pricing is available yet.

About

IBM Granite Embedding 311M Multilingual R2 is a text embedding model supporting 200+ languages (with explicit training for 52 languages and programming code). Produces 768-dimensional embeddings. Improved from R1 via layer pruning and continued distillation training, yielding a +14.5 point average gain over the previous granite-embedding-107m-multilingual. Designed for semantic search, retrieval-augmented generation, and cross-lingual retrieval. Apache 2.0 license. Part of the Granite 4.1 family release.

Granite Embedding 311M Multilingual R2 is an open-weight model in the Granite Embedding family. The structured metadata tracks a 33k-token context window. No headline benchmark score is tracked for Granite Embedding 311M Multilingual R2 yet.

Top use-case fit

No primary decision-task fit is mapped for this model yet.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.