GPT-4o vs IBM Granite 4.2 3B
GPT-4o and IBM Granite 4.2 3B are closely matched at 11.5 and 15.5 on the LLM Stats Score. IBM Granite 4.2 3B is 83.3x cheaper per token.
OpenAI · IBM · Updated for 2026
Which is better?
GPT-4o and IBM Granite 4.2 3B are closely matched on the overall LLM Stats Score at 11.5 and 15.5.
The models split the 2 individual benchmarks reported for both models evenly.
On price, IBM Granite 4.2 3B is roughly 83.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
IBM Granite 4.2 3B also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-4o
- you want predictable pricing at $2.50/M input and $10.00/M output
Choose IBM Granite 4.2 3B
- cost matters — it's about 83.3x cheaper per token
- you process long inputs — it offers a 131,072 token context window
- 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
8 reported for GPT-4o · 13 for IBM Granite 4.2 3B
GPT-4o outperforms in 1 benchmarks (MMLU-Pro), while IBM Granite 4.2 3B is better at 1 benchmark (GPQA).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4o ($2.50/1M tokens) is 83.3x more expensive than IBM Granite 4.2 3B ($0.03/1M tokens).
For output processing, GPT-4o ($10.00/1M tokens) is 83.3x more expensive than IBM Granite 4.2 3B ($0.12/1M tokens).
In conclusion, GPT-4o is more expensive than IBM Granite 4.2 3B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
IBM Granite 4.2 3B accepts 131,072 input tokens compared to GPT-4o's 128,000 tokens. IBM Granite 4.2 3B can generate longer responses up to 131,072 tokens, while GPT-4o is limited to 4,096 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4o supports multimodal inputs, whereas IBM Granite 4.2 3B does not.
GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o
IBM Granite 4.2 3B
License
Usage and distribution terms
GPT-4o 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.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-4o was released on 2024-05-13, while IBM Granite 4.2 3B was released on 2026-08-25.
IBM Granite 4.2 3B is 28 months newer than GPT-4o.
May 13, 2024
2.4 years ago
Aug 25, 2026
1 months ago
2.3yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-4o is available from Azure, OpenAI. IBM Granite 4.2 3B is available from DeepInfra.
GPT-4o
IBM Granite 4.2 3B
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4o and IBM Granite 4.2 3B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o vs IBM Granite 4.2 3B.