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
Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model shows particular specialization in math tasks with an average performance of 80.5%. 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 Large
AI21 Labs
2024-08-22

Phi 4
Microsoft
2024-12-12
3 months newer
Pricing Comparison
Cost per million tokens (USD)
Jamba 1.5 Large

Phi 4
Performance Metrics
Context window and performance specifications
Jamba 1.5 Large

Phi 4
Average performance across 4 common benchmarks
Jamba 1.5 Large

Phi 4
Performance comparison across key benchmark categories
Jamba 1.5 Large

Phi 4
Jamba 1.5 Large
2024-03-05
Phi 4
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock

Phi 4
DeepInfra
Jamba 1.5 Large

Phi 4