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GPT-4.1 versus its peers: Gemini 2.5 Pro and Llama 4 Maverick

  • Philip Moses
  • Apr 21
  • 2 min read

Updated: 6 days ago

As AI continues to evolve, three powerful models are leading the charge: GPT-4.1 from OpenAI, Gemini 2.5 Pro from Google, and LLaMA 4 Maverick from Meta. Each of these models brings unique strengths, from advanced reasoning to multimodal capabilities and real-time performance.

 



In this blog, we’ll dive into how these models stack up in key areas like vision handling, speed, tool integrations, and user experience. By the end, you’ll know exactly which model is best suited to your needs in the fast-moving world of AI.

Model Overview

GPT-4.1 (OpenAI)

  • Available via ChatGPT and API

  • High accuracy and consistency

  • Excels in creative writing, coding, and logical reasoning


Gemini 2.5 Pro (Google DeepMind)

  • Integrated with Google ecosystem (Docs, Sheets, etc.)

  • Strong in real-world knowledge and advanced logic

  • Supports multimodal input, including video


LLaMA 4 Maverick (Meta)

  • Open-source and highly customizable

  • Lightweight and optimized for smaller environments

  • Suitable for developers who want control over deployment


Model

Context Window (Tokens)

  • GPT-4.1

  • 1 million

  • Gemini 2.5 Pro

  • 1 million (expanding to 2M)

  • LLaMA 4 Maverick

  • Up to 10 million

 

All three models support large context windows, allowing them to process long documents and codebases. LLaMA 4 Maverick leads in this area.



🧠 Benchmark Performance

 


  •  HellaSwag tests commonsense reasoning.

  • MMLU covers diverse subjects like law, math, and science.


⚙️ Technical Specifications

 

Feature

GPT-4.1

Gemini 2.5 Pro

LLaMA 4 Maverick

  • Architecture

Proprietary

Proprietary

Mixture-of-Experts (128 experts)

  • Training Data

Not disclosed

Not disclosed

~22T tokens (public + Meta data)

  • Multimodal Input

Text, Images

Text, Images, Video

Text, Images, Video (early fusion)

  • Open Source

No

No

Under LLaMA 4 Community License


🧑‍💻 Use Case Comparison

 

Model

Best For

  • GPT-4.1

Software development, research, logic-heavy applications

  • Gemini 2.5 Pro

Business workflows, document processing, multimodal applications

  • LLaMA 4 Maverick

Custom deployments, open-source projects, multilingual or light setups


Cost and Efficiency
  • GPT-4.1: High performance but resource-heavy. Paid access only (ChatGPT Plus or API).

  • Gemini 2.5 Pro: Integrated and optimized for enterprise use within Google Cloud. May require paid tiers for full access.

  • LLaMA 4 Maverick: Free, open-source, and highly adaptable. Best option for low-cost, on-premise solutions.


Final Thoughts

Each model brings unique advantages:

  • Choose GPT-4.1 for top-tier reasoning, coding, and multi-domain tasks.

  • Choose Gemini 2.5 Pro for long-form data processing and advanced logic, especially within Google’s ecosystem.

  • Choose LLaMA 4 Maverick if you need a flexible, cost-efficient, and customizable open-source option.


The best model depends on your specific needs — context length, compute resources, licensing constraints, and integration preferences.

 
 
 

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