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.
Qwen2.5-Coder 7B Instruct
Alibaba
Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.
Jamba 1.5 Large
AI21 Labs
2024-08-22
Qwen2.5-Coder 7B Instruct
Alibaba
2024-09-19
28 days newer
Performance Metrics
Context window and performance specifications
Jamba 1.5 Large
Qwen2.5-Coder 7B Instruct
Average performance across 5 common benchmarks
Jamba 1.5 Large
Qwen2.5-Coder 7B Instruct
Performance comparison across key benchmark categories
Jamba 1.5 Large
Qwen2.5-Coder 7B Instruct
Jamba 1.5 Large
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock
Qwen2.5-Coder 7B Instruct
Jamba 1.5 Large
Qwen2.5-Coder 7B Instruct