Comprehensive side-by-side LLM comparison
Nova Micro leads with 13.3% higher average benchmark score. Gemini 2.0 Flash-Lite offers 800.8K more tokens in context window than Nova Micro. Both models have similar pricing. Gemini 2.0 Flash-Lite supports multimodal inputs. Overall, Nova Micro 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.
Amazon
Nova Micro is a language model developed by Amazon. It achieves strong performance with an average score of 67.0% across 17 benchmarks. It excels particularly in GSM8k (92.3%), ARC-C (90.2%), Translation Set1→en COMET22 (88.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Amazon's latest advancement in AI technology.
2 months newer
Nova Micro
Amazon
2024-11-20
Gemini 2.0 Flash-Lite
2025-02-05
Cost per million tokens (USD)
Gemini 2.0 Flash-Lite
Nova Micro
Context window and performance specifications
Average performance across 28 common benchmarks
Gemini 2.0 Flash-Lite
Nova Micro
Gemini 2.0 Flash-Lite
2024-06-01
Available providers and their performance metrics
Gemini 2.0 Flash-Lite
Nova Micro
Gemini 2.0 Flash-Lite
Nova Micro
Gemini 2.0 Flash-Lite
Nova Micro
Bedrock