Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash-Lite leads with 23.8% higher average benchmark score. Gemini 2.0 Flash-Lite offers 1.0M more tokens in context window than GPT-3.5 Turbo. 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 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.
OpenAI
GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Gemini 2.0 Flash-Lite
2025-02-05
Cost per million tokens (USD)
Gemini 2.0 Flash-Lite
GPT-3.5 Turbo
Context window and performance specifications
Average performance across 18 common benchmarks
Gemini 2.0 Flash-Lite
GPT-3.5 Turbo
GPT-3.5 Turbo
2021-09-30
Gemini 2.0 Flash-Lite
2024-06-01
Available providers and their performance metrics
Gemini 2.0 Flash-Lite
GPT-3.5 Turbo
Gemini 2.0 Flash-Lite
GPT-3.5 Turbo
Gemini 2.0 Flash-Lite
GPT-3.5 Turbo
Azure
OpenAI