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

Gemini 2.0 Flash Thinking
Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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 Lite
Amazon
Nova Lite is a multimodal language model developed by Amazon. It achieves strong performance with an average score of 70.7% across 27 benchmarks. It excels particularly in GSM8k (94.5%), ARC-C (92.4%), DocVQA (92.4%). It supports a 302K token context window for handling large documents. 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 Amazon's latest advancement in AI technology.

Nova Lite
Amazon
2024-11-20

Gemini 2.0 Flash Thinking
2025-01-21
2 months newer
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash Thinking

Nova Lite
Average performance across 2 common benchmarks

Gemini 2.0 Flash Thinking

Nova Lite
Performance comparison across key benchmark categories

Gemini 2.0 Flash Thinking

Nova Lite
Gemini 2.0 Flash Thinking
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash Thinking

Nova Lite
Bedrock

Gemini 2.0 Flash Thinking

Nova Lite