GPT-4o vs Granite 3.3 8B Instruct
GPT-4o leads the LLM Stats Score 11.6 to 2.6. Granite 3.3 8B Instruct is 8.8x cheaper per token.
OpenAI · IBM · Updated for 2026
Which is better?
GPT-4o leads the overall LLM Stats Score 11.6 to 2.6, ranking #246 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.
On price, Granite 3.3 8B Instruct is roughly 8.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
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 #246 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 Instruct
- cost matters — it's about 8.8x cheaper per token
- 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
8 reported for GPT-4o · 14 for Granite 3.3 8B Instruct
GPT-4o outperforms in 3 benchmarks (DROP, HumanEval, MMLU), while Granite 3.3 8B Instruct is better at 0 benchmarks.
GPT-4o significantly outperforms across most 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 5.0x more expensive than Granite 3.3 8B Instruct ($0.50/1M tokens).
For output processing, GPT-4o ($10.00/1M tokens) is 20.0x more expensive than Granite 3.3 8B Instruct ($0.50/1M tokens).
In conclusion, GPT-4o 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
Both models have the same input context window of 128,000 tokens. Granite 3.3 8B Instruct can generate longer responses up to 8,192 tokens, while GPT-4o is limited to 4,096 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-4o and Granite 3.3 8B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4o
Granite 3.3 8B Instruct
License
Usage and distribution terms
GPT-4o 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-4o was released on 2024-05-13, while Granite 3.3 8B Instruct was released on 2025-04-16.
Granite 3.3 8B Instruct is 11 months newer than GPT-4o.
May 13, 2024
2.3 years ago
Apr 16, 2025
1.4 years ago
11mo newerKnowledge Cutoff
When training data ends
Granite 3.3 8B Instruct 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 Instruct's training data extends to 2024-04-01, but cannot make a direct comparison without GPT-4o's cutoff date.
—
Apr 2024
Provider Availability
GPT-4o is available from Azure, OpenAI. Granite 3.3 8B Instruct is available from Replicate.
GPT-4o
Granite 3.3 8B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4o and Granite 3.3 8B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o vs Granite 3.3 8B Instruct.