IBM Granite 4.2 30B vs Llama 4 Scout
IBM Granite 4.2 30B leads the LLM Stats Score 24.0 to 8.1.
IBM · Meta · Updated for 2026
Which is better?
IBM Granite 4.2 30B leads the overall LLM Stats Score 24.0 to 8.1, ranking #156 overall.
In the 2 individual benchmarks reported for both models, IBM Granite 4.2 30B wins 2; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose IBM Granite 4.2 30B
- overall performance matters — it scores 24.0 and ranks #156 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Aug 2026
Choose Llama 4 Scout
- you want predictable pricing at $0.08/M input and $0.30/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
18 reported for IBM Granite 4.2 30B · 12 for Llama 4 Scout
IBM Granite 4.2 30B outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Llama 4 Scout is better at 0 benchmarks.
IBM Granite 4.2 30B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Llama 4 Scout has 79.0B more parameters than IBM Granite 4.2 30B, making it 263.3% larger.
Context Window
Maximum input and output token capacity
Only Llama 4 Scout specifies input context (10,000,000 tokens). Only Llama 4 Scout specifies output context (10,000,000 tokens).
Input capabilities
Documented input modalities across available providers
Llama 4 Scout supports multimodal inputs, whereas IBM Granite 4.2 30B does not.
Llama 4 Scout can handle both text and other forms of data like images, making it suitable for multimodal applications.
IBM Granite 4.2 30B
Llama 4 Scout
License
Usage and distribution terms
IBM Granite 4.2 30B is licensed under Apache 2.0, while Llama 4 Scout uses Llama 4 Community License Agreement.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Llama 4 Community License Agreement
Open weights
Release Timeline
When each model was launched
IBM Granite 4.2 30B was released on 2026-08-25, while Llama 4 Scout was released on 2025-04-05.
IBM Granite 4.2 30B is 17 months newer than Llama 4 Scout.
Aug 25, 2026
6 days ago
1.4yr newerApr 5, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against IBM Granite 4.2 30B and Llama 4 Scout side-by-side, then vote on the output you prefer.
FAQ
Common questions about IBM Granite 4.2 30B vs Llama 4 Scout.