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.

Gemma 3 12B
Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 63.8% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). It supports a 262K 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 Google's latest advancement in AI technology.

Gemini 2.0 Flash-Lite
2025-02-05

Gemma 3 12B
2025-03-12
1 month newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.0 Flash-Lite

Gemma 3 12B
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash-Lite

Gemma 3 12B
Average performance across 8 common benchmarks

Gemini 2.0 Flash-Lite

Gemma 3 12B
Performance comparison across key benchmark categories

Gemini 2.0 Flash-Lite

Gemma 3 12B
Gemini 2.0 Flash-Lite
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash-Lite

Gemma 3 12B
DeepInfra

Gemini 2.0 Flash-Lite

Gemma 3 12B