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 OSS 120B
OpenAI
GPT OSS 120B is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.1% across 2 benchmarks. Notable strengths include GPQA (71.5%), MMLU (54.8%). It supports a 161K 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Gemini 2.0 Flash-Lite
2025-02-05

GPT OSS 120B
OpenAI
2025-08-05
6 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.0 Flash-Lite

GPT OSS 120B
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash-Lite

GPT OSS 120B
Average performance across 1 common benchmarks

Gemini 2.0 Flash-Lite

GPT OSS 120B
Performance comparison across key benchmark categories

Gemini 2.0 Flash-Lite

GPT OSS 120B
Gemini 2.0 Flash-Lite
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash-Lite

GPT OSS 120B
ZeroEval

Gemini 2.0 Flash-Lite

GPT OSS 120B