LLaMA 4 Maverick is a cutting-edge multimodal model featuring 17 billion active parameters within a Mixture-of-Experts architecture of 128 experts, totaling 400 billion parameters. It leads its class by outperforming models like GPT-4o and Gemini 2.0 Flash across a wide range of benchmarks, and it matches DeepSeek V3 in reasoning and coding tasks—using less than half the active parameters. Designed for efficiency and scalability, Maverick delivers a best-in-class performance-to-cost ratio, with an experimental chat variant achieving an ELO score of 1417 on LMArena. Despite its scale, it runs on a single NVIDIA H100 host, ensuring simple and practical deployment.
OpenAI o3 is the most advanced reasoning model from OpenAI, purpose-built for handling complex, high-cognition tasks. Launched in April 2025, it delivers exceptional performance in software engineering, mathematics, and scientific problem-solving. The model introduces three levels of reasoning effort—low, medium, and high—allowing users to balance between latency and depth of reasoning based on task complexity. o3 supports essential tools for developers, including function calling, structured outputs, and system-level messaging. With built-in vision capabilities, o3 can interpret and analyze images, making it suitable for multimodal applications. It’s available through Chat Completions API, Assistants API, and Batch API for flexible integration into enterprise and research workflows.
| Llama 4 Maverick | o3 | |
|---|---|---|
Provider | ||
Web Site | ||
Release Date | Apr 05, 2025 2 weeks ago | Apr 16, 2025 1 week ago |
Modalities | text images video | text images |
API Providers | Meta AI, Hugging Face, Fireworks, Together, DeepInfra | OpenAI API |
Knowledge Cut-off Date | 2024-08 | - |
Open Source | Yes (Source) | No |
Pricing Input | Not available | $10.00 per million tokens |
Pricing Output | Not available | $40.00 per million tokens |
MMLU | Not available | 82.9% Source |
MMLU Pro | 80.5% Source | - |
MMMU | 73.4% Source | - |
HellaSwag | Not available | - |
HumanEval | Not available | - |
MATH | Not available | - |
GPQA | 69.8% Diamond Source | 83.3% Diamond, no tools Source |
IFEval | Not available | - |
Mobile Application | - |
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