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.
GPT-4.1, launched by OpenAI on April 14, 2025, introduces a 1 million token context window and supports outputs of up to 32,768 tokens per request. It delivers outstanding performance on coding tasks, achieving 54.6% on the SWE-Bench Verified benchmark, and shows a 10.5% improvement over GPT-4o on MultiChallenge for instruction following. The model's knowledge cutoff is set at June 2024. Pricing is $2.00 per million tokens for input and $8.00 per million tokens for output, with a 75% discount applied to cached inputs, making it highly cost-efficient for repeated queries.
Llama 4 Maverick | GPT-4.1 | |
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Provider | ||
Web Site | ||
Release Date | Apr 05, 2025 3 weeks ago | Apr 14, 2025 2 weeks 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 | $2.00 per million tokens |
Pricing Output | Not available | $8.00 per million tokens |
MMLU | Not available | 90.2% pass@1 Source |
MMLU Pro | 80.5% Source | - |
MMMU | 73.4% Source | 74.8% Source |
HellaSwag | Not available | - |
HumanEval | Not available | - |
MATH | Not available | - |
GPQA | 69.8% Diamond Source | 66.3% Diamond Source |
IFEval | Not available | - |
Mobile Application | - |
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