What are the key differences between Jamba and Llama 3.3?

Compare Jamba and Llama 3.3 side by side on Lunoo to see detailed feature differences, AI scores, and expert analysis.

How are Jamba and Llama 3.3 scored?

Jamba has an AI score of 7.9/10 and Llama 3.3 has an AI score of 8.6/10. Scores are based on category fit, feature coverage, pricing signals, public reception, and recency.

Jamba vs Llama 3.3 2026 - Compared

Jamba

Llama 3.3

WINNER Llama 3.3

Llama 3.3 edges ahead with a score of 8.6/10 compared to 7.9/10 for Jamba. While both are highly rated in their respecti...

Jamba

7.85 Good

Model Get Jamba open_in_new

emoji_events WINNER

Llama 3.3 edges ahead with a score of 8.6/10 compared to 7.9/10 for Jamba. While both are highly rated in their respective fields, Llama 3.3 demonstrates a slight advantage in our AI ranking criteria. A detailed AI-powered analysis is being prepared for this comparison.

emoji_events Winner: Llama 3.3

verified Confidence: Low

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description Overview

Jamba

Jamba is a large language model released by AI21 Labs in March 2024, notable for its hybrid architecture combining Mamba state-space layers with Transformer attention layers in a mixture-of-experts configuration. The model has 52 billion total parameters across eight experts, of which approximately 12 billion are active per token. The hybrid design is intended to provide long-context processing wi...

Llama 3.3

Llama 3.3 is an instruction-tuned large language model developed by Meta and released in December 2024. Built with 70 billion parameters, it utilizes the same architecture as the larger Llama 3.1 405B model but achieves comparable performance through advanced post-training techniques. The model supports a 128,000-token context window and is designed for general knowledge, mathematical reasoning, a...