Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash leads with 36.3% higher average benchmark score. Gemini 1.5 Flash offers 544.8K more tokens in context window than Jamba 1.5 Large. Gemini 1.5 Flash is $9.25 cheaper per million tokens. 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 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.
3 months newer
Gemini 1.5 Flash
2024-05-01
Jamba 1.5 Large
AI21 Labs
2024-08-22
Cost per million tokens (USD)
Gemini 1.5 Flash
Jamba 1.5 Large
Context window and performance specifications
Average performance across 26 common benchmarks
Gemini 1.5 Flash
Jamba 1.5 Large
Gemini 1.5 Flash
2023-11-01
Jamba 1.5 Large
2024-03-05
Available providers and their performance metrics
Gemini 1.5 Flash
Jamba 1.5 Large
Gemini 1.5 Flash
Jamba 1.5 Large
Gemini 1.5 Flash
Jamba 1.5 Large
Bedrock