Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 27.7% higher average benchmark score. Gemini 2.0 Flash-Lite offers 794.6K more tokens in context window than Gemma 3 12B. Both models have similar pricing. Overall, Gemma 3 12B 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.
Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% 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.
1 month newer
Gemini 2.0 Flash-Lite
2025-02-05
Gemma 3 12B
2025-03-12
Cost per million tokens (USD)
Gemini 2.0 Flash-Lite
Gemma 3 12B
Context window and performance specifications
Average performance across 31 common benchmarks
Gemini 2.0 Flash-Lite
Gemma 3 12B
Gemini 2.0 Flash-Lite
2024-06-01
Available providers and their performance metrics
Gemini 2.0 Flash-Lite
Gemma 3 12B
Gemini 2.0 Flash-Lite
Gemma 3 12B
Gemini 2.0 Flash-Lite
Gemma 3 12B
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