Comprehensive side-by-side LLM comparison
Jamba 1.5 Mini leads with 2.8% higher average benchmark score. Jamba 1.5 Mini offers 256.3K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $0.57 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
AI21 Labs
Jamba 1.5 Mini was created as a more compact hybrid model, designed to bring the benefits of Jamba's architecture to resource-conscious deployments. Built to provide long-context capabilities with reduced computational requirements, it enables efficient processing of extended inputs in practical applications.
Meta
Llama 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
1 month newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22

Llama 3.2 3B Instruct
Meta
2024-09-25
Cost per million tokens (USD)
Jamba 1.5 Mini

Llama 3.2 3B Instruct
Context window and performance specifications
Average performance across 4 common benchmarks
Jamba 1.5 Mini

Llama 3.2 3B Instruct
Jamba 1.5 Mini
2024-03-05
Available providers and their performance metrics
Jamba 1.5 Mini
Bedrock

Llama 3.2 3B Instruct
Jamba 1.5 Mini

Llama 3.2 3B Instruct
Jamba 1.5 Mini

Llama 3.2 3B Instruct
DeepInfra