Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash-Lite leads with 18.4% higher average benchmark score. Gemini 2.0 Flash-Lite offers 1.0M more tokens in context window than Gemini 1.0 Pro. Gemini 2.0 Flash-Lite is $1.63 cheaper per million tokens. Gemini 2.0 Flash-Lite supports multimodal inputs. Overall, Gemini 2.0 Flash-Lite is the stronger choice for coding tasks.
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
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.
11 months newer
Gemini 1.0 Pro
2024-02-15
Gemini 2.0 Flash-Lite
2025-02-05
Cost per million tokens (USD)
Gemini 1.0 Pro
Gemini 2.0 Flash-Lite
Context window and performance specifications
Average performance across 18 common benchmarks
Gemini 1.0 Pro
Gemini 2.0 Flash-Lite
Gemini 1.0 Pro
2024-02-01
Gemini 2.0 Flash-Lite
2024-06-01
Available providers and their performance metrics
Gemini 1.0 Pro
Gemini 2.0 Flash-Lite
Gemini 1.0 Pro
Gemini 2.0 Flash-Lite
Gemini 1.0 Pro
Gemini 2.0 Flash-Lite