GPT-4o mini vs IBM Granite 4.2 30B
IBM Granite 4.2 30B leads the LLM Stats Score 24.0 to 3.9.
OpenAI · IBM · Updated for 2026
Which is better?
IBM Granite 4.2 30B leads the overall LLM Stats Score 24.0 to 3.9, 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 GPT-4o mini
- you want predictable pricing at $0.15/M input and $0.60/M output
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
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for GPT-4o mini · 18 for IBM Granite 4.2 30B
GPT-4o mini outperforms in 0 benchmarks, while IBM Granite 4.2 30B is better at 2 benchmarks (GPQA, SWE-Bench Verified).
IBM Granite 4.2 30B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only GPT-4o mini specifies input context (128,000 tokens). Only GPT-4o mini specifies output context (16,384 tokens).
Input capabilities
Documented input modalities across available providers
GPT-4o mini supports multimodal inputs, whereas IBM Granite 4.2 30B does not.
GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o mini
IBM Granite 4.2 30B
License
Usage and distribution terms
GPT-4o mini is licensed under a proprietary license, while IBM Granite 4.2 30B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-4o mini was released on 2024-07-18, while IBM Granite 4.2 30B was released on 2026-08-25.
IBM Granite 4.2 30B is 26 months newer than GPT-4o mini.
Jul 18, 2024
2.1 years ago
Aug 25, 2026
5 days ago
2.1yr newerKnowledge Cutoff
When training data ends
GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while IBM Granite 4.2 30B's cutoff date is not specified.
We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without IBM Granite 4.2 30B's cutoff date.
Oct 2023
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Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4o mini and IBM Granite 4.2 30B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o mini vs IBM Granite 4.2 30B.