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

Gemini 2.0 Flash-Lite
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.

GPT-4.5
OpenAI
GPT-4.5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 64.1% across 26 benchmarks. It excels particularly in GSM8k (97.0%), MMLU (90.8%), CharXiv-D (90.0%). The model shows particular specialization in code tasks with an average performance of 88.1%. It supports a 132K 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 2025, it represents OpenAI's latest advancement in AI technology.

Gemini 2.0 Flash-Lite
2025-02-05

GPT-4.5
OpenAI
2025-02-27
22 days newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.0 Flash-Lite

GPT-4.5
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash-Lite

GPT-4.5
Average performance across 3 common benchmarks

Gemini 2.0 Flash-Lite

GPT-4.5
Performance comparison across key benchmark categories

Gemini 2.0 Flash-Lite

GPT-4.5
Gemini 2.0 Flash-Lite
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash-Lite

GPT-4.5
OpenAI

Gemini 2.0 Flash-Lite

GPT-4.5