What are the key differences between OPT and Llama 3.1 405B?

Compare OPT and Llama 3.1 405B side by side on Lunoo to see detailed feature differences, AI scores, and expert analysis.

How are OPT and Llama 3.1 405B scored?

OPT has an AI score of 7.5/10 and Llama 3.1 405B has an AI score of 8.9/10. Scores are based on category fit, feature coverage, pricing signals, public reception, and recency.

OPT vs Llama 3.1 405B 2026 - Compared

OPT

Llama 3.1 405B

WINNER Llama 3.1 405B

Llama 3.1 405B edges ahead with a score of 8.9/10 compared to 7.5/10 for OPT. While both are highly rated in their respe...

OPT

7.45 Good

Model Get OPT open_in_new

emoji_events WINNER

Llama 3.1 405B edges ahead with a score of 8.9/10 compared to 7.5/10 for OPT. While both are highly rated in their respective fields, Llama 3.1 405B demonstrates a slight advantage in our AI ranking criteria. A detailed AI-powered analysis is being prepared for this comparison.

emoji_events Winner: Llama 3.1 405B

verified Confidence: Low

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description Overview

OPT

The Open Pre-trained Transformers (OPT) are a suite of large language models released by Meta AI in 2022. The suite includes models ranging from 125 million to 175 billion parameters, with the largest model specifically designed to match the scale and architecture of OpenAI's GPT-3. Meta released the models to provide the scientific community with access to a fully open, traceable system, complete...

Llama 3.1 405B

Llama 3.1 405B is a large language model released by Meta in 2024, serving as the flagship of the Llama 3.1 collection. It features 405 billion parameters and supports a context window of 128,000 tokens. As an open-weight model, it was made available for download, providing developers with a tool competitive with top closed-source alternatives at the time of its release. The model is intended for...