Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemini 2.5 Flash-Lite offers 602.1K more tokens in context window than Jamba 1.5 Large. Gemini 2.5 Flash-Lite is $9.50 cheaper per million tokens. Gemini 2.5 Flash-Lite supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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 2025, 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.
9 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Gemini 2.5 Flash-Lite
2025-06-17
Cost per million tokens (USD)
Gemini 2.5 Flash-Lite
Jamba 1.5 Large
Context window and performance specifications
Average performance across 20 common benchmarks
Gemini 2.5 Flash-Lite
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Gemini 2.5 Flash-Lite
2025-01-01
Available providers and their performance metrics
Gemini 2.5 Flash-Lite
Jamba 1.5 Large
Gemini 2.5 Flash-Lite
Jamba 1.5 Large
Gemini 2.5 Flash-Lite
Jamba 1.5 Large
Bedrock