Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Jamba 1.5 Large
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.

Llama 3.2 90B Instruct
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.
Jamba 1.5 Large
AI21 Labs
2024-08-22

Llama 3.2 90B Instruct
Meta
2024-09-25
1 month newer
Pricing Comparison
Cost per million tokens (USD)
Jamba 1.5 Large

Llama 3.2 90B Instruct
Performance Metrics
Context window and performance specifications
Jamba 1.5 Large

Llama 3.2 90B Instruct
Average performance across 2 common benchmarks
Jamba 1.5 Large

Llama 3.2 90B Instruct
Performance comparison across key benchmark categories
Jamba 1.5 Large

Llama 3.2 90B Instruct
Jamba 1.5 Large
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock

Llama 3.2 90B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
Bedrock
Jamba 1.5 Large

Llama 3.2 90B Instruct