GPT-4 Omni (GPT-4o) vs GPT-4 Turbo
by Stephen M. Walker II, Co-Founder / CEO
GPT-4 Omni (GPT-4o) vs GPT-4 Turbo: A Comprehensive Comparison
OpenAI's release of GPT-4o marks a significant advancement in AI technology, building upon the capabilities of GPT-4 Turbo. This article provides a detailed comparison of these two powerful models, focusing on their performance, efficiency, and unique features.
Performance and Efficiency
GPT-4o brings substantial improvements in speed and cost-effectiveness:
- Speed: GPT-4o is 2x faster than GPT-4 Turbo
- Cost: 50% cheaper to use in the API
- Rate Limits: 5x higher rate limits compared to GPT-4 Turbo
These enhancements make GPT-4o more accessible and efficient for developers and businesses.
Performance Benchmarks
GPT-4o demonstrates exceptional performance across a wide range of domains, showcasing significant improvements over its predecessor, GPT-4 Turbo. To illustrate these advancements, we've compiled a series of comprehensive visual comparisons that highlight the model's enhanced capabilities in text processing, translation, audio analysis, and visual understanding. These comparisons not only demonstrate GPT-4o's superior performance but also underscore its versatility and potential to revolutionize AI applications across various industries.
Long Context Utilization
GPT-4o demonstrates superior performance in utilizing long context compared to GPT-4 Turbo. The following table summarizes the comparison results across various context lengths and depths:
Model | Wins |
---|---|
GPT-4o | 42 |
GPT-4t | 29 |
Tie | 62 |
The performance comparison between GPT-4o and GPT-4t reveals a complex landscape of capabilities across various context lengths. GPT-4o emerges as the stronger performer, winning 42 comparisons to GPT-4t's 29, with 62 ties. This advantage is particularly pronounced at lower context lengths and higher depths. At the 2000 context length, the models perform identically, resulting in ties across all metrics.
However, GPT-4o demonstrates clear superiority at the 7900 context length, consistently outperforming from 5% to 90% depth, with a single tie at 95%. For intermediate context lengths (13800 and 19700), both models exhibit strengths at different depths, leading to mixed results. At higher context lengths (25600 and 31500), performance varies, with GPT-4o maintaining a slight edge. Notably, at the maximum tested context length of 37400, GPT-4o shows markedly better performance, especially at higher depths. The substantial number of ties indicates that both models often perform comparably, suggesting that the choice between them may depend more on specific use cases than on overall performance differences.
This nuanced performance profile underscores the importance of considering context length and depth when selecting between GPT-4o and GPT-4t for specific applications.
Text Evaluation
Model | MMLU (%) | GPQA (%) | MATH (%) | HumanEval (%) | MGSM (%) | DROP (f1) (%) |
---|---|---|---|---|---|---|
GPT-4o | 88.7 | 53.6 | 76.6 | 90.2 | 90.8 | 86.0 |
GPT-4T | 86.7 | 48.0 | 72.6 | 87.1 | 88.5 | 83.4 |
Translation Evaluation
Audio Evaluation
Exam Evaluation
Vision Evaluation
Eval Sets | GPT-4o | GPT-4T 04-09 |
---|---|---|
MMMU | 69.1 | 63.1 |
MathVista | 63.8 | 58.1 |
AI2D | 94.2 | 89.4 |
ChartQA | 85.7 | 78.1 |
DocVQA | 92.8 | 87.2 |
ActivityNet | 61.9 | 59.5 |
EgoSchema | 72.2 | 63.9 |
Task-Specific Performance Comparison
Data Extraction
In a test extracting 12 fields from contracts:
- GPT-4o outperformed on 6 fields
- Matched results on 5 fields
- Showed degradation on 1 field
- Both models achieved 60-80% accuracy overall
- GPT-4o was 50-80% faster in Time To First Token (TTFT)
Classification (Customer Support Ticket Resolution)
- GPT-4o: 88% precision (highest)
- GPT-4 Turbo: 83.33% precision
- GPT-4o showed a 7% improvement over GPT-4 Turbo
Verbal Reasoning
On a 16-question test:
- GPT-4o: 69% accuracy
- GPT-4 Turbo: 50% accuracy
Specific Improvements and Challenges
GPT-4o showed notable improvements in:
- Calendar calculations
- Time and angle calculations
- Antonym identification
However, it still faces challenges in:
- Word manipulation
- Pattern recognition
- Analogy reasoning
- Spatial reasoning
Processing Speed
- GPT-4o: 109 tokens/second
- GPT-4 Turbo: 20 tokens/second
Additional Benchmark Performances
- MMLU: GPT-4o scores 88.7%, a 2.2% improvement over GPT-4 Turbo
- GPQA, MATH, and HumanEvals: GPT-4o shows improvements
- MGSM: GPT-4o performs similarly to Claude 3 Opus
- DROP: GPT-4 Turbo outperforms GPT-4o
LMSYS Chatbot Arena
GPT-4o (as "im-also-a-good-gpt2-chatbot") achieved a 1310 ELO ranking, demonstrating its competitive edge in conversational AI.
Conclusion
GPT-4o represents a significant leap forward from GPT-4 Turbo, offering improved speed, cost-effectiveness, and performance across various tasks. While it excels in many areas, there are still some tasks where GPT-4 Turbo maintains an edge. The visual comparisons and benchmark results highlight the advancements made by GPT-4o, particularly in areas like text evaluation, translation, audio processing, and vision tasks. As AI technology continues to evolve, these models showcase the rapid advancements in the field, providing developers and businesses with increasingly powerful tools for a wide range of applications.