Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemma 2 27B
Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). The model shows particular specialization in reasoning tasks with an average performance of 82.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
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.

Gemma 2 27B
2024-06-27
Jamba 1.5 Mini
AI21 Labs
2024-08-22
1 month newer
Performance Metrics
Context window and performance specifications

Gemma 2 27B
Jamba 1.5 Mini
Average performance across 3 common benchmarks

Gemma 2 27B
Jamba 1.5 Mini
Performance comparison across key benchmark categories

Gemma 2 27B
Jamba 1.5 Mini
Jamba 1.5 Mini
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics

Gemma 2 27B
Jamba 1.5 Mini
Bedrock

Gemma 2 27B
Jamba 1.5 Mini