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.

MedGemma 4B IT
MedGemma 4B IT is a multimodal language model developed by Google. The model shows competitive results across 7 benchmarks. It excels particularly in MIMIC CXR (88.9%), DermMCQA (71.8%), PathMCQA (69.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
Jamba 1.5 Mini
AI21 Labs
2024-08-22

MedGemma 4B IT
2025-05-20
9 months newer
Performance Metrics
Context window and performance specifications
Jamba 1.5 Mini

MedGemma 4B IT
Performance comparison across key benchmark categories
Jamba 1.5 Mini

MedGemma 4B IT
Jamba 1.5 Mini
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics
Jamba 1.5 Mini
Bedrock

MedGemma 4B IT
Jamba 1.5 Mini

MedGemma 4B IT