| GPT-4 | VS | GPT-4o |
|---|---|---|
| OpenAI's original large reasoning model. Strongest on complex multi-step tasks and nuanced analysis. | OpenAI's "omni" model. Handles text, image, audio, and video in a single fast architecture. |
GPT-4
Pros
- Deepest reasoning ability
- Best on complex benchmarks
- Strong mathematical analysis
- Mature ecosystem
Cons
- Slower response times
- More expensive per token
- No multimodal input
GPT-4o
Pros
- Much faster than GPT-4
- Multimodal (text, image, audio, video)
- Cheaper per token
- Better for real-time apps
Cons
- Can be less precise on reasoning
- May truncate long outputs
- Newer, fewer community resources
Verdict
GPT-4 is still superior for deep reasoning and complex analysis. GPT-4o is better for speed, multimodal tasks, and cost efficiency.
When to use which
Use GPT-4 for complex coding challenges, research, and tasks needing maximum precision. Use GPT-4o for real-time chat, multimodal inputs, and cost-sensitive workloads.
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