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GPT-5 vs Granite 3.3 8B Base

GPT-5 leads the LLM Stats Score 33.8 to -0.5.

OpenAI · IBM · Updated for 2026

Which is better?

GPT-5 leads the overall LLM Stats Score 33.8 to -0.5, ranking #96 overall.

In the 2 individual benchmarks reported for both models, GPT-5 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 GPT-5

  • overall performance matters — it scores 33.8 and ranks #96 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Aug 2025

Choose Granite 3.3 8B Base

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
33.8
#96
-0.5
#328
34.2
#90
-0.7
#322
26.4
#63
11.1
#160
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$1.25 / M
— / M
Output price
$10.00 / M
— / M
Context window
400,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-5
Granite 3.3 8B Base
31.5#65
-0.8#298
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

34 reported for GPT-5 · 20 for Granite 3.3 8B Base

2 shared

GPT-5 outperforms in 2 benchmarks (HumanEval, MMLU), while Granite 3.3 8B Base is better at 0 benchmarks.

GPT-5 significantly outperforms across most benchmarks.

Mon Sep 14 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 specifies input context (400,000 tokens). Only GPT-5 specifies output context (128,000 tokens).

OpenAI
GPT-5
Input400,000 tokens
Output128,000 tokens
IBM
Granite 3.3 8B Base
Input- tokens
Output- tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-5 and Granite 3.3 8B Base support multimodal inputs.

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

GPT-5

Text
Images
Audio
Video

Granite 3.3 8B Base

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5 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-5

Proprietary

Closed source

Granite 3.3 8B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5 was released on 2025-08-07, while Granite 3.3 8B Base was released on 2025-04-16.

GPT-5 is 4 months newer than Granite 3.3 8B Base.

GPT-5

Aug 7, 2025

1.1 years ago

3mo newer
Granite 3.3 8B Base

Apr 16, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

GPT-5 has a knowledge cutoff of 2024-09-30, while Granite 3.3 8B Base has a cutoff of 2024-04-01.

GPT-5 has more recent training data (up to 2024-09-30), making it potentially better informed about events through that date compared to Granite 3.3 8B Base (2024-04-01).

GPT-5

Sep 2024

5 mo newer
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-5 and Granite 3.3 8B Base side-by-side, then vote on the output you prefer.

GPT-5
✓ Preferred
Granite 3.3 8B Base
Open in Playground

FAQ

Common questions about GPT-5 vs Granite 3.3 8B Base.

Which is better, GPT-5 or Granite 3.3 8B Base?

GPT-5 leads the LLM Stats Score 33.8 to -0.5. GPT-5 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-5 compare to Granite 3.3 8B Base in benchmarks?

GPT-5 scores SWE-Lancer (IC-Diamond subset): 100.0%, COLLIE: 99.0%, Tau2 Telecom: 96.7%, OpenAI-MRCR: 2 needle 128k: 95.2%, AIME 2025: 94.6%. 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-5 and Granite 3.3 8B Base?

GPT-5 supports 400K 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-5 and Granite 3.3 8B Base?

Key differences include LLM Stats Score (33.8 vs -0.5), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5 and Granite 3.3 8B Base?

GPT-5 is developed by OpenAI and Granite 3.3 8B Base is developed by IBM.