Create with Llama 3.3 API
Welcome to the forefront of AI with the Llama 3.3 70B API, a tool designed for developers and enterprises advancing NLP
Meta
Llama 3.3 70B
One of the most compelling aspects of the Llama 3.3 70B API is its ability to deliver performance comparable to larger models like Llama 3.1 405B, but at a fraction of the size and cost. This model has been engineered using advanced post-training techniques that significantly enhance its core capabilities while maintaining a smaller footprint.
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Cost Efficiency
Llama 3.3 API is up to 50 times cheaper and 10 times faster than GPT-4 API, making it an economically viable option for businesses looking to implement AI solutions without incurring hefty expenses.
Safety and Reliability
The model incorporates advanced techniques such as reinforcement learning from human feedback (RLHF), enhancing its alignment with user intentions and safety measures.
Unmatched Scale and Sophistication
Llama 3.3 boasts an impressive 70 billion parameters and 128k context, offering exceptional depth for understanding nuanced inputs, generating accurate responses, and adapting to diverse use cases.
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New level
Meta's LLama 3.3 Outperforms Top Models
Llama 3.3 70B competes head-to-head with other top-tier models like GPT 4o. Llama 3.1 70B, Gemini Pro 1.5, Llama 3.1 405B, delivering results that often surpass expectations.
In side-by-side comparisons, Llama 3.3 70B shines for its balance of scalability and affordability, making it a preferred choice for businesses seeking robust AI solutions without breaking the bank.
Versus Llama 3.1 70B
Llama-3.3-70B surpasses Llama-3.1-70B in key areas, with significant improvements in MMLU PRO (68.9 vs 66.4) and Instruction Following (92.1 vs 88.6). It also excels in math reasoning, with a score of 77.0, compared to 68.0.
Versus Gemini 1.5 Pro
Llama-3.3-70B outshines Gemini Pro 1.5 in Instruction Following (92.1 vs 81.9) and performs better in multilingual tasks (91.1 vs 89.6).
Versus GPT 4o
Llama-3.3-70B competes with GPT-4o, beating it in reasoning (50.5 vs 47.5) and surpassing it in code generation (88.4 vs 86.0). It also outperforms GPT-4o in Math (77.0 vs 76.9) and cost-efficiency, with lower API pricing.
Getting started with Meta Llama 3.3 API
Visit the AI/ML API Playground to quickly try Llama 3.3 API soon directly from your workspace.
For more information about technical features of Llama 3.3 70B, please refer to the model card, which will be available SOON.
Read Meta's GitHub Model Card.
