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.

o4-mini
OpenAI
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
Jamba 1.5 Large
AI21 Labs
2024-08-22

o4-mini
OpenAI
2025-04-16
7 months newer
Performance Metrics
Context window and performance specifications
Jamba 1.5 Large

o4-mini
Average performance across 1 common benchmarks
Jamba 1.5 Large

o4-mini
Performance comparison across key benchmark categories
Jamba 1.5 Large

o4-mini
Jamba 1.5 Large
2024-03-05
o4-mini
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock

o4-mini
Jamba 1.5 Large

o4-mini