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.

Mistral NeMo Instruct
Mistral AI
Mistral NeMo Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 64.3% across 8 benchmarks. It excels particularly in HellaSwag (83.5%), Winogrande (76.8%), TriviaQA (73.8%). The model shows particular specialization in reasoning tasks with an average performance of 80.2%. It supports a 256K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral NeMo Instruct
Mistral AI
2024-07-18
Jamba 1.5 Large
AI21 Labs
2024-08-22
1 month newer
Pricing Comparison
Cost per million tokens (USD)
Jamba 1.5 Large

Mistral NeMo Instruct
Performance Metrics
Context window and performance specifications
Jamba 1.5 Large

Mistral NeMo Instruct
Average performance across 2 common benchmarks
Jamba 1.5 Large

Mistral NeMo Instruct
Performance comparison across key benchmark categories
Jamba 1.5 Large

Mistral NeMo Instruct
Jamba 1.5 Large
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock

Mistral NeMo Instruct
Mistral AI
Jamba 1.5 Large

Mistral NeMo Instruct