Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash-Lite leads with 3.4% higher average benchmark score. Gemini 2.5 Flash-Lite offers 982.0K more tokens in context window than GPT-4 Turbo. Gemini 2.5 Flash-Lite is $39.50 cheaper per million tokens. Gemini 2.5 Flash-Lite supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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.
OpenAI
GPT-4 Turbo is a language model developed by OpenAI. It achieves strong performance with an average score of 78.1% across 6 benchmarks. It excels particularly in MGSM (88.5%), HumanEval (87.1%), MMLU (86.5%). It supports a 132K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
1 year newer
GPT-4 Turbo
OpenAI
2024-04-09
Gemini 2.5 Flash-Lite
2025-06-17
Cost per million tokens (USD)
Gemini 2.5 Flash-Lite
GPT-4 Turbo
Context window and performance specifications
Average performance across 18 common benchmarks
Gemini 2.5 Flash-Lite
GPT-4 Turbo
GPT-4 Turbo
2023-12-31
Gemini 2.5 Flash-Lite
2025-01-01
Available providers and their performance metrics
Gemini 2.5 Flash-Lite
GPT-4 Turbo
Gemini 2.5 Flash-Lite
GPT-4 Turbo
Gemini 2.5 Flash-Lite
GPT-4 Turbo
Azure
OpenAI