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IBM Granite 4.2 30B vs o3

o3 leads the LLM Stats Score 31.3 to 24.0.

IBM · OpenAI · Updated for 2026

Which is better?

o3 leads the overall LLM Stats Score 31.3 to 24.0, ranking #100 overall.

In the 3 individual benchmarks reported for both models, o3 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

  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

Choose o3

  • overall performance matters — it scores 31.3 and ranks #100 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results

At a glance

The differences that matter most.

Core performance indexes
24.0
#156
31.3
#100
21.8
#165
30.9
#104
9.6
#159
15.3
#117
7.9
#124
4.8
#140
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
— / M
$2.00 / M
Output price
— / M
$8.00 / M
Context window
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
IBM Granite 4.2 30B
o3
25.6#103
25.8#99
10.6#116
11.9#102
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for IBM Granite 4.2 30B · 22 for o3

3 shared

IBM Granite 4.2 30B outperforms in 1 benchmarks (AIME 2025), while o3 is better at 2 benchmarks (GPQA, SWE-Bench Verified).

o3 shows notably better performance in the majority of benchmarks.

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only o3 specifies input context (200,000 tokens). Only o3 specifies output context (100,000 tokens).

IBM
IBM Granite 4.2 30B
Input- tokens
Output- tokens
OpenAI
o3
Input200,000 tokens
Output100,000 tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

o3 supports multimodal inputs, whereas IBM Granite 4.2 30B does not.

o3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

IBM Granite 4.2 30B

Text
Images
Audio
Video

o3

Text
Images
Audio
Video

License

Usage and distribution terms

IBM Granite 4.2 30B is licensed under Apache 2.0, while o3 uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

IBM Granite 4.2 30B

Apache 2.0

Open weights

o3

Proprietary

Closed source

Release Timeline

When each model was launched

IBM Granite 4.2 30B was released on 2026-08-25, while o3 was released on 2025-04-16.

IBM Granite 4.2 30B is 17 months newer than o3.

IBM Granite 4.2 30B

Aug 25, 2026

6 days ago

1.4yr newer
o3

Apr 16, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

o3 has a documented knowledge cutoff of 2024-05-31, while IBM Granite 4.2 30B's cutoff date is not specified.

We can confirm o3's training data extends to 2024-05-31, but cannot make a direct comparison without IBM Granite 4.2 30B's cutoff date.

IBM Granite 4.2 30B

o3

May 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against IBM Granite 4.2 30B and o3 side-by-side, then vote on the output you prefer.

IBM Granite 4.2 30B
✓ Preferred
o3
Open in Playground

FAQ

Common questions about IBM Granite 4.2 30B vs o3.

Which is better, IBM Granite 4.2 30B or o3?

o3 leads the LLM Stats Score 31.3 to 24.0. IBM Granite 4.2 30B is made by IBM and o3 is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does IBM Granite 4.2 30B compare to o3 in benchmarks?

IBM Granite 4.2 30B scores RULER 64k: 90.0%, AIME 2025: 89.2%, HMMT25: 89.2%, RULER 128k: 81.4%, MMLU-Pro: 77.6%. o3 scores COLLIE: 98.4%, AIME 2024: 91.6%, ARC-AGI: 88.0%, MathVista: 86.8%, AIME 2025: 86.4%.

What are the context window sizes for IBM Granite 4.2 30B and o3?

IBM Granite 4.2 30B supports an unknown number of tokens and o3 supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between IBM Granite 4.2 30B and o3?

Key differences include LLM Stats Score (24.0 vs 31.3), multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes IBM Granite 4.2 30B and o3?

IBM Granite 4.2 30B is developed by IBM and o3 is developed by OpenAI.