Llama 4 MaverickvsGPT-o3
Meta vs OpenAI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Llama 4 Maverick | GPT-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
GPT-o3 ranks higher in arena benchmarks (#2) indicating stronger overall performance.
Llama 4 Maverick supports a larger context window (1M), allowing it to process longer documents in a single request.
Llama 4 Maverick is open-source (free to self-host and fine-tune) while GPT-o3 is proprietary (API-only access).
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
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
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