Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 17.7% higher average benchmark score. Gemini 2.5 Flash-Lite offers 884.7K more tokens in context window than DeepSeek-V3.2-Exp. Both models have similar pricing. Gemini 2.5 Flash-Lite supports multimodal inputs. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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.
3 months newer
Gemini 2.5 Flash-Lite
2025-06-17
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Cost per million tokens (USD)
DeepSeek-V3.2-Exp
Gemini 2.5 Flash-Lite
Context window and performance specifications
Average performance across 19 common benchmarks
DeepSeek-V3.2-Exp
Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite
2025-01-01
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Gemini 2.5 Flash-Lite
DeepSeek-V3.2-Exp
Gemini 2.5 Flash-Lite
DeepSeek-V3.2-Exp
Gemini 2.5 Flash-Lite