How does granite 4.2 3b rank among AI models?
granite 4.2 3b holds ModelCap Index position #178 of 225 ranked language models as of 3 September 2026, with an Index score of 18.5 (interval 18.5–28.1); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.
What is the context window of granite 4.2 3b?
granite 4.2 3b has a published context window of 131K tokens (131,072). Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.
Is granite 4.2 3b open-weight?
Open weights (apache-2.0). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is ibm-granite/granite-4.2-3b on Hugging Face.
Which benchmarks has granite 4.2 3b been evaluated on?
granite 4.2 3b has published results on 4 public boards tracked by ModelCap as of 3 September 2026: Arena coding 1380 (#218 of 393), AA Intelligence Index 14.3 (#349 of 623), AA Terminal-Bench 2.1 13.9% (#175 of 226) and AA Humanity's Last Exam 6.6% (#330 of 591). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.
How does granite 4.2 3b compare with gemma 3n E4B it?
granite 4.2 3b ranks #178 (Index 18.5) and gemma 3n E4B it ranks #177 (Index 19.3) on the ModelCap Index as of 3 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.