IBM Granite 4.2 30B vs o1-mini
IBM Granite 4.2 30B leads the LLM Stats Score 24.0 to 10.2.
IBM · OpenAI · Updated for 2026
Which is better?
IBM Granite 4.2 30B leads the overall LLM Stats Score 24.0 to 10.2, ranking #156 overall.
In the 1 individual benchmarks reported for both models, IBM Granite 4.2 30B wins 1; 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 1 of 1 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
Choose o1-mini
- you want predictable pricing at $3.00/M input and $12.00/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 · 6 for o1-mini
IBM Granite 4.2 30B outperforms in 1 benchmarks (GPQA), while o1-mini 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
Context Window
Maximum input and output token capacity
Only o1-mini specifies input context (128,000 tokens). Only o1-mini specifies output context (65,536 tokens).
License
Usage and distribution terms
IBM Granite 4.2 30B is licensed under Apache 2.0, while o1-mini uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
IBM Granite 4.2 30B was released on 2026-08-25, while o1-mini was released on 2024-09-12.
IBM Granite 4.2 30B is 24 months newer than o1-mini.
Aug 25, 2026
5 days ago
2.0yr newerSep 12, 2024
2.0 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 o1-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about IBM Granite 4.2 30B vs o1-mini.