GPT-4o vs Gemini 1.5 Pro

Compare
OpenAI: GPT-4o
and
Google: Gemini 1.5 Pro
on reasoning, speed, cost, and features.
Models
COntext size
Cutoff date
I/O cost *
Max output
Latency
Speed
OpenAI: GPT-4o
128000
2023-10
₳15/₳60
4096
500
80
Google: Gemini 1.5 Pro
2097152
2024-04
₳7.5/₳30
8192
2500
45
*₳ = ₳nyTokens

Standard Benchmarks

OpenAI: GPT-4o
Google: Gemini 1.5 Pro
88.7
85.9
91.7
92
71.9
84.1
MMLU
GSM8K
HumanEval

GPT-4o and Gemini 1.5 Pro represent the cutting edge of AI capabilities, each with distinct strengths. GPT-4o excels in reasoning benchmarks and delivers consistently fast response times, making it ideal for applications requiring quick, accurate outputs. Its multimodal capabilities handle text, images, and audio seamlessly, with particularly strong performance in creative writing and complex problem-solving tasks. Gemini 1.5 Pro's standout feature is its massive 2 million token context window, dramatically outpacing GPT-4o's 128k tokens. This makes it exceptional for processing lengthy documents, codebases, or maintaining context across extended conversations. Both models support multimodal inputs, but Gemini 1.5 Pro shows superior performance with very large files and complex document analysis. Cost-wise, Gemini 1.5 Pro typically offers better value, especially for high-volume applications or tasks requiring extensive context. GPT-4o commands premium pricing but justifies it with superior speed and reasoning performance. For developers choosing between them, consider your specific needs: GPT-4o for speed-critical applications with moderate context requirements, or Gemini 1.5 Pro for document-heavy workflows where context length is paramount. Both integrate well into existing workflows and offer robust API access.

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Intelligence Score

OpenAI: GPT-4o
Google: Gemini 1.5 Pro
90.2
84.1

When to choose OpenAI: GPT-4o

Choose GPT-4o for applications requiring fast response times, complex reasoning tasks, creative writing, or real-time interactions. Ideal for chatbots, content generation, coding assistance, and scenarios where speed and reasoning accuracy are more important than extensive context retention.

When to choose Google: Gemini 1.5 Pro

Select Gemini 1.5 Pro for document analysis, large codebase processing, research tasks, or applications requiring extensive context retention. Perfect for legal document review, academic research, long-form content analysis, and workflows involving massive amounts of contextual information.

Speed & Latency

Real-world performance metrics measuring response time, throughput, and stability under load.

metric
OpenAI: GPT-4o
Google: Gemini 1.5 Pro
Average latency
500
ms
2500
ms
Tokens/Second
80
45
Response Stability
Excellent
Very Good
Verdict:
GPT-4o delivers faster response times for most applications

Cost Efficiency

Price per token for input and output, affecting total cost of ownership for different use cases.

Pricing
OpenAI: GPT-4o
Google: Gemini 1.5 Pro
Input ₳nyTokens
₳15
₳7.5
Output ₳nyTokens
₳60
₳30
Verdict:
Gemini 1.5 Pro offers better value for large context tasks

Integration & API Ecosystem

Developer tooling, SDK availability, and integration capabilities for production deployments.

Feature
OpenAI: GPT-4o
Google: Gemini 1.5 Pro
REST API
Official SDKs
Function Calling
Streaming Support
Multimodal Input
Open Weights
Verdict:
Gemini 1.5 Pro offers better value for large context tasks

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FAQs

Which model is more accurate overall?

GPT-4o generally shows superior performance in reasoning benchmarks and complex problem-solving tasks, while Gemini 1.5 Pro excels in document comprehension and context-heavy applications. Accuracy depends on your specific use case.

How do the costs compare?

Gemini 1.5 Pro typically offers better cost efficiency, especially for high-volume applications or tasks requiring large context windows. GPT-4o commands premium pricing but provides faster response times and superior reasoning capabilities.

Which model is faster?

GPT-4o generally delivers faster response times and lower latency, making it better suited for real-time applications and scenarios where speed is critical. Gemini 1.5 Pro may have slower response times, especially with large context inputs.

Do both models support multimodal inputs?

Yes, both GPT-4o and Gemini 1.5 Pro support multimodal inputs including text, images, and other file types. GPT-4o also supports audio inputs, while Gemini 1.5 Pro excels at processing very large documents and files.

Can I test both models in AnyAPI Playground?

Yes! Both models are available in the AnyApi Playground where you can run side-by-side comparisons with your own prompts.

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