Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemini 2.5 Flash-Lite
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.

Nova Micro
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.

Nova Micro
Amazon
2024-11-20

Gemini 2.5 Flash-Lite
2025-06-17
6 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.5 Flash-Lite

Nova Micro
Performance Metrics
Context window and performance specifications

Gemini 2.5 Flash-Lite

Nova Micro
Average performance across 1 common benchmarks

Gemini 2.5 Flash-Lite

Nova Micro
Performance comparison across key benchmark categories

Gemini 2.5 Flash-Lite

Nova Micro
Gemini 2.5 Flash-Lite
2025-01-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Flash-Lite

Nova Micro
Bedrock

Gemini 2.5 Flash-Lite

Nova Micro