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 4 Mini Reasoning
Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
Jamba 1.5 Mini
AI21 Labs
2024-08-22

Phi 4 Mini Reasoning
Microsoft
2025-04-30
8 months newer
Performance Metrics
Context window and performance specifications
Jamba 1.5 Mini

Phi 4 Mini Reasoning
Average performance across 1 common benchmarks
Jamba 1.5 Mini

Phi 4 Mini Reasoning
Performance comparison across key benchmark categories
Jamba 1.5 Mini

Phi 4 Mini Reasoning
Jamba 1.5 Mini
2024-03-05
Phi 4 Mini Reasoning
2025-02-01
Provider Availability & Performance
Available providers and their performance metrics
Jamba 1.5 Mini
Bedrock

Phi 4 Mini Reasoning
Jamba 1.5 Mini

Phi 4 Mini Reasoning