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.

Phi 4 Reasoning
Microsoft
Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). The model shows particular specialization in code tasks with an average performance of 76.7%. 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 Large
AI21 Labs
2024-08-22

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

Phi 4 Reasoning
Average performance across 3 common benchmarks
Jamba 1.5 Large

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

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

Phi 4 Reasoning
Jamba 1.5 Large

Phi 4 Reasoning