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-mini-instruct
Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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-mini-instruct
Microsoft
2024-08-23
1 days newer
Pricing Comparison
Cost per million tokens (USD)
Jamba 1.5 Mini

Phi-3.5-mini-instruct
Performance Metrics
Context window and performance specifications
Jamba 1.5 Mini

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

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

Phi-3.5-mini-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-mini-instruct
Azure
Jamba 1.5 Mini

Phi-3.5-mini-instruct