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Llama 4 MaverickvsGPT-4o

Meta vs OpenAI — Side-by-side model comparison

Llama 4 Maverick leads 4/5 categories

Head-to-Head Comparison

MetricLlama 4 MaverickGPT-4o
Provider
Meta
Arena Rank
#7
#2
Context Window
1M
128K
Input Pricing
Free/1M tokens
$2.50/1M tokens
Output Pricing
Free/1M tokens
$10.00/1M tokens
Parameters
400B MoE (17B active)
~200B (est.)
Open Source
Yes
No
Best For
Open source, self-hosted, multilingual
General purpose, coding, analysis
Release Date
Apr 5, 2025

Llama 4 Maverick

Llama 4 Maverick, developed by Meta AI, is a large Mixture-of-Experts model representing the most capable freely available AI for general-purpose tasks. As Meta's flagship open-source release, Maverick demonstrates strong performance across coding, reasoning, creative writing, and multilingual tasks, competing with proprietary models on standard benchmarks. The MoE architecture activates only a subset of its total parameters per token, enabling frontier-class capability with manageable inference costs. It can be downloaded, modified, fine-tuned, and deployed without API costs or licensing restrictions. The model has become a foundation for thousands of fine-tuned variants across the open-source community, powering applications in healthcare, education, content creation, and enterprise software. Llama 4 Maverick reflects Meta's strategic investment in open-source AI, building developer ecosystem engagement while advancing the accessibility of powerful AI models globally.

GPT-4o

GPT-4o is OpenAI's flagship multimodal model, capable of processing text, images, and audio in a unified architecture. The 'o' stands for 'omni,' reflecting its ability to seamlessly handle multiple input types. With a 128K token context window and competitive pricing, it strikes an optimal balance between capability and cost-effectiveness. GPT-4o delivers fast response times while maintaining strong performance across coding, analysis, creative writing, and visual understanding tasks. It powers ChatGPT's default experience and is one of the most widely deployed AI models globally, serving millions of API calls daily. The model supports function calling, JSON mode, and structured outputs, making it highly versatile for production applications. Its combination of speed, quality, and multimodal capabilities makes it the go-to choice for most general-purpose AI applications.

View OpenAI profile →

Key Differences: Llama 4 Maverick vs GPT-4o

1

GPT-4o ranks higher in arena benchmarks (#2) indicating stronger overall performance.

2

Llama 4 Maverick supports a larger context window (1M), allowing it to process longer documents in a single request.

3

Llama 4 Maverick is open-source (free to self-host and fine-tune) while GPT-4o is proprietary (API-only access).

4

Llama 4 Maverick has 400B MoE (17B active) parameters vs GPT-4o's ~200B (est.), which affects inference speed and capability.

L

When to use Llama 4 Maverick

  • +Budget is a concern and you need cost efficiency
  • +You need to process long documents (1M context)
  • +You need to self-host or fine-tune the model
  • +Your use case involves open source, self-hosted, multilingual
View full Llama 4 Maverick specs →
G

When to use GPT-4o

  • +You need the highest quality output based on arena rankings
  • +Quality matters more than cost
  • +You prefer a managed API without infrastructure overhead
  • +Your use case involves general purpose, coding, analysis
View full GPT-4o specs →

Cost Analysis

At current pricing, Llama 4 Maverick is nullx more affordable than GPT-4o. For a typical enterprise workload processing 100M tokens per month:

Llama 4 Maverick monthly cost

$0

100M tokens/mo (50/50 in/out)

GPT-4o monthly cost

$625

100M tokens/mo (50/50 in/out)

The Verdict

Llama 4 Maverick wins our head-to-head comparison with 4 out of 5 category wins. It's the stronger choice for open source, self-hosted, multilingual, though GPT-4o holds an edge in general purpose, coding, analysis.

Last compared: April 2026 · Data sourced from public benchmarks and official pricing pages

Frequently Asked Questions

Which is better, Llama 4 Maverick or GPT-4o?
In our head-to-head comparison, Llama 4 Maverick leads in 4 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). Llama 4 Maverick excels at open source, self-hosted, multilingual, while GPT-4o is better suited for general purpose, coding, analysis. The best choice depends on your specific requirements, budget, and use case.
How does Llama 4 Maverick pricing compare to GPT-4o?
Llama 4 Maverick charges Free per 1M input tokens and Free per 1M output tokens. GPT-4o charges $2.50 per 1M input tokens and $10.00 per 1M output tokens. Llama 4 Maverick is the more affordable option. For high-volume production workloads, the pricing difference can significantly impact total cost of ownership.
What is the context window difference between Llama 4 Maverick and GPT-4o?
Llama 4 Maverick supports a 1M token context window, while GPT-4o supports 128K tokens. Llama 4 Maverick can process longer documents, codebases, and conversations in a single request. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Llama 4 Maverick or GPT-4o for free?
Llama 4 Maverick is available for free (open-source). GPT-4o is a paid API model starting at $2.50 per 1M input tokens. Open-source models can be self-hosted for free but require your own GPU infrastructure.
Which model has better benchmarks, Llama 4 Maverick or GPT-4o?
Llama 4 Maverick holds arena rank #7, while GPT-4o holds rank #2. GPT-4o performs better in overall arena benchmarks, which aggregate human preference ratings across coding, reasoning, and general tasks. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Llama 4 Maverick or GPT-4o better for coding?
Llama 4 Maverick's primary strength is open source, self-hosted, multilingual. GPT-4o is specifically optimized for coding tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.