Comparison
GPT-4 vs GPT-4o: Which OpenAI Model Should You Use?
Comparing OpenAI's GPT-4 and GPT-4o on speed, cost, multi-modal capabilities, and real-world performance differences.
GPT-4
OpenAI's original flagship model known for deep reasoning, high accuracy, and strong performance on complex analytical tasks.
Best For
Complex reasoning tasks where accuracy matters more than speed
Pricing
API: $30/1M input tokens, $60/1M output tokens
Pros
- +Deep reasoning capabilities on complex problems
- +Well-tested and extensively documented behavior
- +Strong performance on academic and professional benchmarks
- +Reliable and predictable output quality
Cons
- -Significantly slower response times than GPT-4o
- -Higher API cost per token
- -No native multi-modal input processing
- -Being phased out in favor of newer models
GPT-4o
OpenAI's optimized flagship model offering comparable intelligence with faster speed, lower cost, and native multi-modal capabilities.
Best For
Most use cases requiring GPT-4 intelligence at better speed and cost
Pricing
API: $5/1M input tokens, $15/1M output tokens
Pros
- +2x faster response times than GPT-4
- +50% cheaper API pricing
- +Native multi-modal input for text, images, and audio
- +Improved multilingual performance
Cons
- -Slight quality regression on some niche reasoning tasks
- -Newer model with less community testing history
- -Can be slightly less thorough on very complex analyses
- -Multi-modal features still being refined
Detailed Comparison
Performance
GPT-4o matches GPT-4 on nearly all benchmarks while adding multi-modal capabilities. GPT-4 retains a slight edge on certain complex analytical tasks, but the difference is marginal for most use cases.
Pricing
GPT-4o is dramatically cheaper at approximately 50% lower cost per token. For most applications, GPT-4o delivers equivalent quality at a fraction of the price.
Ease of Use
GPT-4o's faster response times and multi-modal input make it more versatile and pleasant to use. The unified model for text, image, and audio input simplifies application development.
Enterprise Features
Both are available through the same enterprise agreements. GPT-4o's lower cost and higher throughput make it more practical for enterprise-scale deployments.
Verdict
Use GPT-4o for virtually all new projects: it delivers equivalent intelligence at 50% lower cost, 2x faster speed, and adds native multi-modal input. Only use GPT-4 (non-'o') if you have a legacy integration that depends on its specific behavior or you have tested edge cases where GPT-4's responses are measurably better for your domain.
Last updated: 2025-12
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