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GPT-4.1 nano vs IBM Granite 4.2 3B

IBM Granite 4.2 3B leads the LLM Stats Score 15.6 to 1.9.

OpenAI · IBM · Updated for 2026

Which is better?

IBM Granite 4.2 3B leads the overall LLM Stats Score 15.6 to 1.9, ranking #213 overall.

In the 1 individual benchmarks reported for both models, IBM Granite 4.2 3B 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-4.1 nano

  • you want predictable pricing at $0.10/M input and $0.40/M output

Choose IBM Granite 4.2 3B

  • overall performance matters — it scores 15.6 and ranks #213 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

At a glance

The differences that matter most.

Core performance indexes
1.9
#303
15.6
#213
2.3
#290
12.0
#234
-11.7
#252
-6.7
#247
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.10 / M
— / M
Output price
$0.40 / M
— / M
Context window
1,047,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-4.1 nano
IBM Granite 4.2 3B
5.3#266
13.7#216
-10.2#180
5.3#144
2.1#101
-2.2#108
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

24 reported for GPT-4.1 nano · 13 for IBM Granite 4.2 3B

1 shared

GPT-4.1 nano outperforms in 0 benchmarks, while IBM Granite 4.2 3B is better at 1 benchmark (GPQA).

IBM Granite 4.2 3B significantly outperforms across most 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 GPT-4.1 nano specifies input context (1,047,576 tokens). Only GPT-4.1 nano specifies output context (32,768 tokens).

OpenAI
GPT-4.1 nano
Input1,047,576 tokens
Output32,768 tokens
IBM
IBM Granite 4.2 3B
Input- tokens
Output- tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-4.1 nano supports multimodal inputs, whereas IBM Granite 4.2 3B does not.

GPT-4.1 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4.1 nano

Text
Images
Audio
Video

IBM Granite 4.2 3B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4.1 nano is licensed under a proprietary license, while IBM Granite 4.2 3B uses Apache 2.0.

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

GPT-4.1 nano

Proprietary

Closed source

IBM Granite 4.2 3B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4.1 nano was released on 2025-04-14, while IBM Granite 4.2 3B was released on 2026-08-25.

IBM Granite 4.2 3B is 17 months newer than GPT-4.1 nano.

GPT-4.1 nano

Apr 14, 2025

1.4 years ago

IBM Granite 4.2 3B

Aug 25, 2026

5 days ago

1.4yr newer

Knowledge Cutoff

When training data ends

GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while IBM Granite 4.2 3B's cutoff date is not specified.

We can confirm GPT-4.1 nano's training data extends to 2024-05-31, but cannot make a direct comparison without IBM Granite 4.2 3B's cutoff date.

GPT-4.1 nano

May 2024

IBM Granite 4.2 3B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-4.1 nano and IBM Granite 4.2 3B side-by-side, then vote on the output you prefer.

GPT-4.1 nano
✓ Preferred
IBM Granite 4.2 3B
Open in Playground

FAQ

Common questions about GPT-4.1 nano vs IBM Granite 4.2 3B.

Which is better, GPT-4.1 nano or IBM Granite 4.2 3B?

IBM Granite 4.2 3B leads the LLM Stats Score 15.6 to 1.9. GPT-4.1 nano is made by OpenAI and IBM Granite 4.2 3B 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-4.1 nano compare to IBM Granite 4.2 3B in benchmarks?

GPT-4.1 nano scores MMLU: 80.1%, IFEval: 74.5%, CharXiv-D: 73.9%, MMMLU: 66.9%, Multi-IF: 57.2%. IBM Granite 4.2 3B scores AIME 2025: 78.3%, IFBench: 74.3%, LiveCodeBench v6: 69.7%, MMLU-Pro: 67.8%, RULER 64k: 67.5%.

What are the context window sizes for GPT-4.1 nano and IBM Granite 4.2 3B?

GPT-4.1 nano supports 1.0M tokens and IBM Granite 4.2 3B 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-4.1 nano and IBM Granite 4.2 3B?

Key differences include LLM Stats Score (1.9 vs 15.6), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4.1 nano and IBM Granite 4.2 3B?

GPT-4.1 nano is developed by OpenAI and IBM Granite 4.2 3B is developed by IBM.