Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 21.2% higher average benchmark score. Jamba 1.5 Large offers 256.0K more tokens in context window than Llama 3.2 90B Instruct. Llama 3.2 90B Instruct is $9.25 cheaper per million tokens. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Overall, Llama 3.2 90B 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 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. 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 90B Instruct
Meta
2024-09-25
Cost per million tokens (USD)
Jamba 1.5 Large
Llama 3.2 90B Instruct
Context window and performance specifications
Average performance across 19 common benchmarks
Jamba 1.5 Large
Llama 3.2 90B Instruct
Jamba 1.5 Large
2024-03-05
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock
Llama 3.2 90B Instruct
Jamba 1.5 Large
Llama 3.2 90B Instruct
Jamba 1.5 Large
Llama 3.2 90B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
Together