GPT-4o
OpenAILarge Language ModelProprietaryOpenAI's flagship multimodal model that can reason across text, images, and audio. Offers strong performance across a wide range of tasks with fast response times.
Abilities
Use Cases
Available in Tools
Availability
How to Use
Pros
- Excellent multimodal capabilities — natively handles text, images, and audio in a single model
- Fast response times (~2x faster than GPT-4 Turbo) making it suitable for real-time applications
- Strong coding abilities — performs well on HumanEval and SWE-bench benchmarks
- Largest ecosystem of third-party integrations and tools of any AI model
- Supports function calling, structured JSON output, and system prompts for precise control
- Available on Azure for enterprise compliance (SOC 2, HIPAA eligible)
Cons
- Closed source — no visibility into model weights, training data, or architecture details
- API costs add up quickly at scale ($2.50/1M input tokens) — expensive for high-volume batch processing
- Knowledge cutoff means it cannot access real-time information without plugins/tools
- Occasional hallucinations — can confidently generate incorrect information on niche topics
- 128K context window is smaller than Gemini (1M) for very long document processing
What to Use It For
Perfect For
Natively processes text, images, and audio together with fast response times
Largest ecosystem of integrations, SDKs, and tutorials — fastest path from idea to working demo
Combines fast response times with reliable quality and broad tool support
Good For
Strong HumanEval and SWE-bench scores with extensive training on mainstream codebases
Good balance of speed and comprehension for distilling long texts into key points
Not Recommended
Context window is too small — documents get truncated and you lose information
Try instead: Gemini 2.5 Pro
Closed source with no available weights — completely dependent on OpenAI API
Try instead: Llama 3.3 70B
Do Not Use For
Not a reasoning model — lacks chain-of-thought depth needed for olympiad-level math
Try instead: o3, DeepSeek R1
It is an LLM, not an image generation model — it can only describe images, not create them
Try instead: DALL-E 3, FLUX.1