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Granite 4.2 8B vs Granite 4.2 30B

Put two to four models side by side on the fields that decide a deployment: context, price, region, license, languages, hosting, and what is verified.

Granite 4.2 8BGranite 4.2 30B
Provider IBMIBM
Parameters 8.8B29.3B
Context window Not verified: the provider has not documented this claim.Not verified: the provider has not documented this claim.
License apache-2.0apache-2.0
Modalities texttext
Release date 07 Aug 202607 Aug 2026
Languages Strong: en, de, es, fr, pt, cs, it, nl
Adequate: ja, ar, ko, zh, ibm
Strong: en, de, es, fr, pt, cs, it, nl
Adequate: ja, ar, ko, zh, ibm
Open weights yesyes
Tasks Multilingual support, Retrieval (RAG), SummarisationMultilingual support, Reasoning, Retrieval (RAG)

Where two models differ, this table shows the difference and stops. LLM EU publishes no winner badge without a documented score for that task, and a missing figure stays missing instead of becoming a zero.

When to use it

Granite 4.2 8B

Strengths

  • open weights are published on Hugging Face and can be downloaded without a vendor agreement
  • Apache-2.0 licence, so commercial self-hosting is permitted without a separate agreement
  • at 8.8B parameters it fits on a single accelerator
  • the model page lists 8 languages the European Union publishes in, including en, de, es, fr

Limits

  • catalogue only — LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
  • no evaluation has been run by LLM EU
  • the published configuration records no context window, so the card carries none
  • at 8.8B parameters, the weights fit on a single modest accelerator

Tasks

Multilingual support, Retrieval (RAG), Summarisation

Granite 4.2 30B

Strengths

  • open weights are published on Hugging Face and can be downloaded without a vendor agreement
  • Apache-2.0 licence, so commercial self-hosting is permitted without a separate agreement
  • the model page lists 8 languages the European Union publishes in, including en, de, es, fr

Limits

  • catalogue only — LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
  • no evaluation has been run by LLM EU
  • the published configuration records no context window, so the card carries none
  • at 29.3B parameters, self-hosting needs a single accelerator with enough memory for the weights

Tasks

Multilingual support, Reasoning, Retrieval (RAG)

Tasks: Multilingual support, Retrieval (RAG)

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