GPT-4o Mini vs Gemini 1.5 Flash: AI Model Comparison

Explore the key differences between OpenAI and Google's latest cost-effective language models

GPT-4o Mini

: specialties & advantages

GPT-4o Mini is OpenAI's cost-efficient small model, designed to make advanced AI capabilities more accessible. It offers impressive performance at a fraction of the cost of larger models.

Key strengths include:

  • Multimodal capabilities (text and vision)
  • Large context window of 128K tokens
  • Strong performance in reasoning tasks
  • Improved efficiency and significantly lower cost compared to larger models
  • Support for up to 16.4K output tokens per request
  • Knowledge cutoff up to October 2023

GPT-4o Mini is particularly well-suited for applications requiring a balance between advanced capabilities and cost-effectiveness.

Best use cases for

GPT-4o Mini

Here are examples of ways to take advantage of its greatest stengths:

High-Volume Data Processing

GPT-4o Mini's large context window and efficiency make it ideal for processing full code bases or extensive conversation histories in applications.

Real-Time Customer Support

Its low latency and cost-effectiveness make GPT-4o Mini perfect for powering fast, real-time customer support chatbots.

Multimodal Applications

With support for both text and vision inputs, GPT-4o Mini is suitable for developing applications that require processing and understanding of multiple data types.

Gemini 1.5 Flash

: specialties & advantages

Gemini 1.5 Flash is Google's advanced language model, designed for fast performance and improved capabilities. It offers significant improvements over previous models at a competitive price point.

Key strengths include:

  • Multimodal capabilities (text and vision)
  • Massive context window of 1 million tokens
  • Advanced reasoning and problem-solving abilities
  • Extremely fast output speed
  • Support for over 100 languages
  • Knowledge cutoff up to November 2023

Gemini 1.5 Flash is particularly well-suited for applications requiring a balance between advanced capabilities, speed, and cost-effectiveness.

Best use cases for

Gemini 1.5 Flash

On the other hand, here's what you can build with this LLM:

Large-Scale Information Processing

Gemini 1.5 Flash's massive context window makes it ideal for analyzing and processing large volumes of data, such as entire codebases or extensive documents.

Real-Time AI Applications

With its extremely fast output speed, Gemini 1.5 Flash excels in real-time applications like live customer support, instant content generation, and rapid data analysis.

Multilingual and Multimodal Tasks

Supporting over 100 languages and having multimodal capabilities, Gemini 1.5 Flash is perfect for diverse applications requiring language understanding and visual processing.

In summary

When comparing GPT-4o Mini and Gemini 1.5 Flash, several key differences emerge:

  • Context Window: Gemini 1.5 Flash offers a much larger context window (1 million tokens) compared to GPT-4o Mini (128K tokens), allowing for processing of significantly larger data volumes.
  • Speed: Gemini 1.5 Flash has a faster output speed at 163.6 tokens per second, compared to GPT-4o Mini's 86.8 tokens per second.
  • Latency: GPT-4o Mini has lower latency with a Time to First Token (TTFT) of 0.45 seconds, while Gemini 1.5 Flash has a TTFT of 1.06 seconds.
  • Cost: Gemini 1.5 Flash is more cost-effective, with a blended price of $0.53 per million tokens, compared to GPT-4o Mini's $0.15 for input and $0.60 for output per million tokens.
  • Performance: Both models perform similarly on benchmarks, with GPT-4o Mini slightly outperforming Gemini 1.5 Flash on MMLU (82.0% vs 78.9% for 5-shot) and MMMU (59.4% vs 56.1%).
  • Maximum Output: GPT-4o Mini can generate up to 16.4K tokens per request, while Gemini 1.5 Flash is limited to 8,192 tokens.
  • Language Support: Gemini 1.5 Flash supports over 100 languages, while GPT-4o Mini's language support is not explicitly specified but is described as multilingual.

For most applications requiring a balance between advanced capabilities, speed, and cost-effectiveness, both models offer compelling options. Gemini 1.5 Flash may be preferable for tasks requiring extensive context processing or extremely fast output, while GPT-4o Mini might be better suited for applications needing lower latency or slightly higher performance on certain benchmarks.

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