Comprehensive side-by-side LLM comparison
Nova Pro leads with 46.9% higher average benchmark score. Nova Pro offers 88.0K more tokens in context window than Jamba 1.5 Large. Nova Pro is $6.00 cheaper per million tokens. Nova Pro supports multimodal inputs. Overall, Nova Pro 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.
Amazon
Nova Pro is a multimodal language model developed by Amazon. It achieves strong performance with an average score of 73.2% across 27 benchmarks. It excels particularly in ARC-C (94.8%), GSM8k (94.8%), DocVQA (93.5%). It supports a 600K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Amazon's latest advancement in AI technology.
3 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Nova Pro
Amazon
2024-11-20
Cost per million tokens (USD)
Jamba 1.5 Large
Nova Pro
Context window and performance specifications
Average performance across 31 common benchmarks
Jamba 1.5 Large
Nova Pro
Jamba 1.5 Large
2024-03-05
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock
Nova Pro
Jamba 1.5 Large
Nova Pro
Jamba 1.5 Large
Nova Pro
Bedrock