IBM: Granite 4.2 8B Rank
Granite 4.2 8B has an overall score of 64 out of 100, tied for rank 161 of 291. The published scores are price 93, context 44, parameters 23, and recency 97. The overall score is their average. freshness is not published and is left out of the average.
Data sourced from OpenRouter API and manual data collection | Last updated: Nov 3, 2026, 8:01 AM UTC
Component scores are ranked in
tied for rank 161 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 97 | AI Release Date | |
| Context | 44 | 131K tokens, output 118K | AI Context Window |
| Parameters | 23 | 8B total | AI Parameter Count |
| Price | 93 | $0.0825 / 1M blended, $0.06 / 1M input, $0.15 / 1M output | AI Token Price |
160 listed models have a higher overall score. Among IBM models, it ranks 1 of 1.
Granite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning. It supports full, low-effort,...
Higher overall scores
🤖 Generate website with AI 👆
Join the beta waitlist and get 50% off your first 3 months.
Frequently asked questions
What is the Granite 4.2 8B rank?
Granite 4.2 8B has an overall score of 64 out of 100, tied for rank 161 of 291. The published scores are price 93, context 44, parameters 23, and recency 97. The overall score is their average. freshness is not published and is left out of the average.
Where does Granite 4.2 8B rank?
Granite 4.2 8B is tied for rank 161 of 291. 160 listed models have a higher overall score. Among IBM models, it ranks 1 of 1.
What scores make up Granite 4.2 8B?
Granite 4.2 8B scores price 93 (AI Token Price), context 44 (AI Context Window), parameters 23 (AI Parameter Count), and recency 97 (AI Release Date). The overall score of 64 is the average of those 4.