Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Jamba 1.5 Mini
AI21 Labs
Jamba 1.5 Mini is a language model developed by AI21 Labs. The model shows competitive results across 8 benchmarks. It excels particularly in ARC-C (85.7%), GSM8k (75.8%), MMLU (69.7%). 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.

Phi-3.5-MoE-instruct
Microsoft
Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). The model shows particular specialization in reasoning tasks with an average performance of 85.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
Jamba 1.5 Mini
AI21 Labs
2024-08-22

Phi-3.5-MoE-instruct
Microsoft
2024-08-23
1 days newer
Performance Metrics
Context window and performance specifications
Jamba 1.5 Mini

Phi-3.5-MoE-instruct
Average performance across 7 common benchmarks
Jamba 1.5 Mini

Phi-3.5-MoE-instruct
Performance comparison across key benchmark categories
Jamba 1.5 Mini

Phi-3.5-MoE-instruct
Jamba 1.5 Mini
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics
Jamba 1.5 Mini
Bedrock

Phi-3.5-MoE-instruct
Jamba 1.5 Mini

Phi-3.5-MoE-instruct