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Llama 4 MaverickvsGPT-o3

Meta vs OpenAI — Side-by-side model comparison

Llama 4 Maverick leads 4/5 categories

Head-to-Head Comparison

MetricLlama 4 MaverickGPT-o3
Provider
Meta
Arena Rank
#7
#2
Context Window
1M
200K
Input Pricing
Free/1M tokens
$2.00/1M tokens
Output Pricing
Free/1M tokens
$8.00/1M tokens
Parameters
400B MoE (17B active)
Undisclosed
Open Source
Yes
No
Best For
Open source, self-hosted, multilingual
Advanced reasoning, agentic tasks, research
Release Date
Apr 5, 2025
Apr 16, 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-o3

GPT-o3 is OpenAI's most advanced reasoning model, succeeding o1 as the frontier of deliberative AI. It uses an enhanced chain-of-thought approach where the model spends more compute time 'thinking' before responding, dramatically improving performance on complex STEM, mathematical, and logical reasoning tasks. With a 200K token context window and the ability to use tools during reasoning, o3 represents a significant leap in AI problem-solving capabilities. It achieved state-of-the-art results on the ARC-AGI benchmark, demonstrating near-human performance on novel reasoning challenges. The model is particularly strong at multi-step mathematical proofs, complex code debugging, and scientific analysis where careful step-by-step reasoning is essential. Originally priced at a premium, an 80% price reduction in June 2025 made o3 accessible to a much broader range of developers and applications.

View OpenAI profile →

Key Differences: Llama 4 Maverick vs GPT-o3

1

GPT-o3 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-o3 is proprietary (API-only access).

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-o3

  • +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 advanced reasoning, agentic tasks, research
View full GPT-o3 specs →

Cost Analysis

At current pricing, Llama 4 Maverick is nullx more affordable than GPT-o3. For a typical enterprise workload processing 100M tokens per month:

Llama 4 Maverick monthly cost

$0

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

GPT-o3 monthly cost

$500

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-o3 holds an edge in advanced reasoning, agentic tasks, research.

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

Frequently Asked Questions

Which is better, Llama 4 Maverick or GPT-o3?
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-o3 is better suited for advanced reasoning, agentic tasks, research. The best choice depends on your specific requirements, budget, and use case.
How does Llama 4 Maverick pricing compare to GPT-o3?
Llama 4 Maverick charges Free per 1M input tokens and Free per 1M output tokens. GPT-o3 charges $2.00 per 1M input tokens and $8.00 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-o3?
Llama 4 Maverick supports a 1M token context window, while GPT-o3 supports 200K 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-o3 for free?
Llama 4 Maverick is available for free (open-source). GPT-o3 is a paid API model starting at $2.00 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-o3?
Llama 4 Maverick holds arena rank #7, while GPT-o3 holds rank #2. GPT-o3 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-o3 better for coding?
Llama 4 Maverick's primary strength is open source, self-hosted, multilingual. GPT-o3's primary strength is advanced reasoning, agentic tasks, research. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.