Comprehensive side-by-side LLM comparison
Llama 3.2 3B Instruct leads with 16.3% higher average benchmark score. Jamba 1.5 Large offers 256.0K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $9.97 cheaper per million tokens. Overall, Llama 3.2 3B Instruct is the stronger choice for coding tasks.
AI21 Labs
Jamba 1.5 Large is a language model developed by AI21 Labs. It achieves strong performance with an average score of 65.5% across 8 benchmarks. It excels particularly in ARC-C (93.0%), GSM8k (87.0%), MMLU (81.2%). It supports a 512K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents AI21 Labs's latest advancement in AI technology.
Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
1 month newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Llama 3.2 3B Instruct
Meta
2024-09-25
Cost per million tokens (USD)
Jamba 1.5 Large
Llama 3.2 3B Instruct
Context window and performance specifications
Average performance across 19 common benchmarks
Jamba 1.5 Large
Llama 3.2 3B Instruct
Jamba 1.5 Large
2024-03-05
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock
Llama 3.2 3B Instruct
Jamba 1.5 Large
Llama 3.2 3B Instruct
Jamba 1.5 Large
Llama 3.2 3B Instruct
DeepInfra