Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash-Lite leads with 16.7% higher average benchmark score. Gemini 2.0 Flash-Lite offers 544.5K more tokens in context window than Jamba 1.5 Mini. Both models have similar pricing. Gemini 2.0 Flash-Lite supports multimodal inputs. Overall, Gemini 2.0 Flash-Lite is the stronger choice for coding tasks.
Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). 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 2025, 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.
5 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
Gemini 2.0 Flash-Lite
2025-02-05
Cost per million tokens (USD)
Gemini 2.0 Flash-Lite
Jamba 1.5 Mini
Context window and performance specifications
Average performance across 19 common benchmarks
Gemini 2.0 Flash-Lite
Jamba 1.5 Mini
Jamba 1.5 Mini
2024-03-05
Gemini 2.0 Flash-Lite
2024-06-01
Available providers and their performance metrics
Gemini 2.0 Flash-Lite
Jamba 1.5 Mini
Gemini 2.0 Flash-Lite
Jamba 1.5 Mini
Gemini 2.0 Flash-Lite
Jamba 1.5 Mini
Bedrock