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granite-embedding-97m-multilingual-r2
About granite-embedding-97m-multilingual-r2
granite-embedding-97m-multilingual-r2 is an AI model developed by IBM, in the embedding category, released in 2026, made available as an open-weights model with 0.1B params. Compact multilingual embedding model in IBM's Granite R2 family, producing 384-dim embeddings for latency-sensitive depl.
On this page you'll find granite-embedding-97m-multilingual-r2's full specifications, including a context window of 32.8K tokens. Review provider pricing and benchmark scores below, or compare granite-embedding-97m-multilingual-r2 head-to-head with other embedding models.
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Frequently asked questions
What is granite-embedding-97m-multilingual-r2? ▶
Compact multilingual embedding model in IBM's Granite R2 family, producing 384-dim embeddings for latency-sensitive depl It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created granite-embedding-97m-multilingual-r2? ▶
granite-embedding-97m-multilingual-r2 was developed by IBM and released in 2026.
Is granite-embedding-97m-multilingual-r2 open source or proprietary? ▶
granite-embedding-97m-multilingual-r2 ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.
What is granite-embedding-97m-multilingual-r2's context window? ▶
granite-embedding-97m-multilingual-r2 supports a context window of 32.8K tokens, and has 0.1B params.
How much does granite-embedding-97m-multilingual-r2 cost? ▶
Pricing for granite-embedding-97m-multilingual-r2 depends on the provider. See the providers table on this page for the latest API rates.
How does granite-embedding-97m-multilingual-r2 perform on benchmarks? ▶
Benchmark scores for granite-embedding-97m-multilingual-r2 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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