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GPT-5.3 Codex vs IBM Granite 4.2 30B

GPT-5.3 Codex leads the LLM Stats Score 36.8 to 24.0.

OpenAI · IBM · Updated for 2026

Which is better?

GPT-5.3 Codex leads the overall LLM Stats Score 36.8 to 24.0, ranking #66 overall.

In the 1 individual benchmarks reported for both models, GPT-5.3 Codex 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 GPT-5.3 Codex

  • overall performance matters — it scores 36.8 and ranks #66 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

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

At a glance

The differences that matter most.

Core performance indexes
36.8
#66
24.0
#156
37.5
#61
21.8
#165
30.1
#45
9.6
#159
22.8
#48
7.9
#124
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$1.75 / M
— / M
Output price
$14.00 / M
— / M
Context window
400,000

Individual benchmarks

6 reported for GPT-5.3 Codex · 18 for IBM Granite 4.2 30B

1 shared

GPT-5.3 Codex outperforms in 1 benchmarks (SWE-Bench Pro), while IBM Granite 4.2 30B is better at 0 benchmarks.

GPT-5.3 Codex significantly outperforms across most benchmarks.

Tue Sep 01 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-5.3 Codex specifies input context (400,000 tokens). Only GPT-5.3 Codex specifies output context (128,000 tokens).

OpenAI
GPT-5.3 Codex
Input400,000 tokens
Output128,000 tokens
IBM
IBM Granite 4.2 30B
Input- tokens
Output- tokens
Tue Sep 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5.3 Codex supports multimodal inputs, whereas IBM Granite 4.2 30B does not.

GPT-5.3 Codex can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.3 Codex

Text
Images
Audio
Video

IBM Granite 4.2 30B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.3 Codex 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.

GPT-5.3 Codex

Proprietary

Closed source

IBM Granite 4.2 30B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.3 Codex was released on 2026-02-05, while IBM Granite 4.2 30B was released on 2026-08-25.

IBM Granite 4.2 30B is 7 months newer than GPT-5.3 Codex.

GPT-5.3 Codex

Feb 5, 2026

6 months ago

IBM Granite 4.2 30B

Aug 25, 2026

6 days ago

6mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-5.3 Codex and IBM Granite 4.2 30B side-by-side, then vote on the output you prefer.

GPT-5.3 Codex
✓ Preferred
IBM Granite 4.2 30B
Open in Playground

FAQ

Common questions about GPT-5.3 Codex vs IBM Granite 4.2 30B.

Which is better, GPT-5.3 Codex or IBM Granite 4.2 30B?

GPT-5.3 Codex leads the LLM Stats Score 36.8 to 24.0. GPT-5.3 Codex is made by OpenAI and IBM Granite 4.2 30B is made by IBM. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-5.3 Codex compare to IBM Granite 4.2 30B in benchmarks?

GPT-5.3 Codex scores SWE-Lancer (IC-Diamond subset): 81.4%, Cybersecurity CTFs: 77.6%, Terminal-Bench 2.0: 77.3%, LiveBench: 72.8%, OSWorld-Verified: 64.7%. 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%.

What are the context window sizes for GPT-5.3 Codex and IBM Granite 4.2 30B?

GPT-5.3 Codex supports 400K tokens and IBM Granite 4.2 30B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5.3 Codex and IBM Granite 4.2 30B?

Key differences include LLM Stats Score (36.8 vs 24.0), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.3 Codex and IBM Granite 4.2 30B?

GPT-5.3 Codex is developed by OpenAI and IBM Granite 4.2 30B is developed by IBM.