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GPT-4o vs Granite 3.3 8B Base

GPT-4o leads the LLM Stats Score 11.6 to -0.5.

OpenAI · IBM · Updated for 2026

Which is better?

GPT-4o leads the overall LLM Stats Score 11.6 to -0.5, ranking #255 overall.

In the 3 individual benchmarks reported for both models, GPT-4o wins 3; 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-4o

  • overall performance matters — it scores 11.6 and ranks #255 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results

Choose Granite 3.3 8B Base

  • you want the most recent training data — it shipped Apr 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
11.6
#255
-0.5
#327
12.3
#243
-0.6
#321
11.7
#150
11.1
#159
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$2.50 / M
— / M
Output price
$10.00 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-4o
Granite 3.3 8B Base
18.1#184
-0.8#297
18.6#92
-7.2#218
18.6#77
-6.0#200
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for GPT-4o · 20 for Granite 3.3 8B Base

3 shared

GPT-4o outperforms in 3 benchmarks (DROP, HumanEval, MMLU), while Granite 3.3 8B Base is better at 0 benchmarks.

GPT-4o significantly outperforms across most benchmarks.

Thu Sep 10 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-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (4,096 tokens).

OpenAI
GPT-4o
Input128,000 tokens
Output4,096 tokens
IBM
Granite 3.3 8B Base
Input- tokens
Output- tokens
Thu Sep 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-4o and Granite 3.3 8B Base support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-4o

Text
Images
Audio
Video

Granite 3.3 8B Base

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o is licensed under a proprietary license, while Granite 3.3 8B Base uses Apache 2.0.

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

GPT-4o

Proprietary

Closed source

Granite 3.3 8B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-05-13, while Granite 3.3 8B Base was released on 2025-04-16.

Granite 3.3 8B Base is 11 months newer than GPT-4o.

GPT-4o

May 13, 2024

2.3 years ago

Granite 3.3 8B Base

Apr 16, 2025

1.4 years ago

11mo newer

Knowledge Cutoff

When training data ends

Granite 3.3 8B Base has a documented knowledge cutoff of 2024-04-01, while GPT-4o's cutoff date is not specified.

We can confirm Granite 3.3 8B Base's training data extends to 2024-04-01, but cannot make a direct comparison without GPT-4o's cutoff date.

GPT-4o

Granite 3.3 8B Base

Apr 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-4o and Granite 3.3 8B Base side-by-side, then vote on the output you prefer.

GPT-4o
✓ Preferred
Granite 3.3 8B Base
Open in Playground

FAQ

Common questions about GPT-4o vs Granite 3.3 8B Base.

Which is better, GPT-4o or Granite 3.3 8B Base?

GPT-4o leads the LLM Stats Score 11.6 to -0.5. GPT-4o is made by OpenAI and Granite 3.3 8B Base 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-4o compare to Granite 3.3 8B Base in benchmarks?

GPT-4o scores MGSM: 90.5%, HumanEval: 90.2%, MMLU: 88.7%, DROP: 83.4%, MATH: 76.6%. Granite 3.3 8B Base scores HumanEval: 89.7%, AttaQ: 88.5%, HumanEval+: 86.1%, AIME 2024: 81.2%, HellaSwag: 80.1%.

What are the context window sizes for GPT-4o and Granite 3.3 8B Base?

GPT-4o supports 128K tokens and Granite 3.3 8B Base 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-4o and Granite 3.3 8B Base?

Key differences include LLM Stats Score (11.6 vs -0.5), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4o and Granite 3.3 8B Base?

GPT-4o is developed by OpenAI and Granite 3.3 8B Base is developed by IBM.