Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash leads with 39.2% higher average benchmark score. Gemini 1.5 Flash offers 544.5K more tokens in context window than Jamba 1.5 Mini. Both models have similar pricing. Gemini 1.5 Flash supports multimodal inputs. Overall, Gemini 1.5 Flash is the stronger choice for coding tasks.
Gemini 1.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Google's latest advancement in AI technology.
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.
3 months newer
Gemini 1.5 Flash
2024-05-01
Jamba 1.5 Mini
AI21 Labs
2024-08-22
Cost per million tokens (USD)
Gemini 1.5 Flash
Jamba 1.5 Mini
Context window and performance specifications
Average performance across 26 common benchmarks
Gemini 1.5 Flash
Jamba 1.5 Mini
Gemini 1.5 Flash
2023-11-01
Jamba 1.5 Mini
2024-03-05
Available providers and their performance metrics
Gemini 1.5 Flash
Jamba 1.5 Mini
Gemini 1.5 Flash
Jamba 1.5 Mini
Gemini 1.5 Flash
Jamba 1.5 Mini
Bedrock