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

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.

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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

  
  

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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.

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🧠 Benchmark Performance

•  HellaSwag tests commonsense reasoning.

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

  
  

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⚙️ 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

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🧑‍💻 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

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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.

  
  

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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.