Granite Embedding 97M Multilingual R2
Granite Embedding 97M 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
- Family
- Granite Embedding
- Released
- 2026-04-29
- Context
- 33k
- Parameters
- 97M
- Specialization
- embedding
- Openness
- Open weights
No tracked provider token pricing is available yet.
About
IBM Granite Embedding 97M Multilingual R2 is a compact text embedding model supporting 200+ languages (with explicit training for 52 languages and programming code). Produces 384-dimensional embeddings. Smaller sibling to the 311M variant, offering efficient multilingual retrieval at reduced compute cost. Yields a +14.5 point average gain over the previous granite-embedding-107m-multilingual via layer pruning and continued distillation training. Apache 2.0 license. Part of the Granite 4.1 family release.
Granite Embedding 97M 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 97M 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.
No tracked provider token pricing is available yet.