GPT-4 vs Granite 3.3 8B Instruct
GPT-4 and Granite 3.3 8B Instruct are closely matched at 3.0 and 2.4 on the LLM Stats Score. Granite 3.3 8B Instruct is 75.0x cheaper per token.
OpenAI · IBM · Updated for 2026
Which is better?
GPT-4 and Granite 3.3 8B Instruct are closely matched on the overall LLM Stats Score at 3.0 and 2.4.
In the 3 individual benchmarks reported for both models, GPT-4 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Granite 3.3 8B Instruct is roughly 75.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Granite 3.3 8B Instruct also accepts a larger context window (128,000 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-4
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
Choose Granite 3.3 8B Instruct
- your work emphasizes coding — it leads those capability indexes
- cost matters — it's about 75.0x cheaper per token
- you process long inputs — it offers a 128,000 token context window
- 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
12 reported for GPT-4 · 14 for Granite 3.3 8B Instruct
GPT-4 outperforms in 2 benchmarks (DROP, MMLU), while Granite 3.3 8B Instruct is better at 1 benchmark (HumanEval).
GPT-4 shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4 ($30.00/1M tokens) is 60.0x more expensive than Granite 3.3 8B Instruct ($0.50/1M tokens).
For output processing, GPT-4 ($60.00/1M tokens) is 120.0x more expensive than Granite 3.3 8B Instruct ($0.50/1M tokens).
In conclusion, GPT-4 is more expensive than Granite 3.3 8B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Granite 3.3 8B Instruct accepts 128,000 input tokens compared to GPT-4's 32,768 tokens. GPT-4 can generate longer responses up to 32,768 tokens, while Granite 3.3 8B Instruct is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-4 and Granite 3.3 8B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4
Granite 3.3 8B Instruct
License
Usage and distribution terms
GPT-4 is licensed under a proprietary license, while Granite 3.3 8B Instruct 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-4 was released on 2023-06-13, while Granite 3.3 8B Instruct was released on 2025-04-16.
Granite 3.3 8B Instruct is 22 months newer than GPT-4.
Jun 13, 2023
3.3 years ago
Apr 16, 2025
1.4 years ago
1.8yr newerKnowledge Cutoff
When training data ends
GPT-4 has a knowledge cutoff of 2022-12-31, while Granite 3.3 8B Instruct has a cutoff of 2024-04-01.
Granite 3.3 8B Instruct has more recent training data (up to 2024-04-01), making it potentially better informed about events through that date compared to GPT-4 (2022-12-31).
Dec 2022
Apr 2024
1.3 yr newerProvider Availability
GPT-4 is available from Azure, OpenAI. Granite 3.3 8B Instruct is available from Replicate.
GPT-4
Granite 3.3 8B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 and Granite 3.3 8B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 vs Granite 3.3 8B Instruct.