How does granite 4.2 30b rank among AI models?
granite 4.2 30b holds ModelCap Index position #86 of 225 ranked language models as of 3 September 2026, with an Index score of 30.4 (interval 30.4–39.8); 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 30b?
granite 4.2 30b 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 30b 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-4.2-30b on Hugging Face.
Which benchmarks has granite 4.2 30b been evaluated on?
granite 4.2 30b has published results on 4 public boards tracked by ModelCap as of 3 September 2026: Arena coding 1396 (#197 of 393), AA Intelligence Index 23.7 (#238 of 623), AA Terminal-Bench 2.1 26.6% (#154 of 226) and AA Humanity's Last Exam 11.2% (#240 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 30b compare with Mercury 2?
granite 4.2 30b ranks #86 (Index 30.4) and Mercury 2 ranks #85 (Index 30.8) 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.