Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 2.5% higher average benchmark score. Gemini 2.0 Flash offers 827.4K more tokens in context window than DeepSeek-V3.2-Exp. Both models have similar pricing. Gemini 2.0 Flash supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). 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 2024, it represents Google's latest advancement in AI technology.
10 months newer
Gemini 2.0 Flash
2024-12-01
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Cost per million tokens (USD)
DeepSeek-V3.2-Exp
Gemini 2.0 Flash
Context window and performance specifications
Average performance across 24 common benchmarks
DeepSeek-V3.2-Exp
Gemini 2.0 Flash
Gemini 2.0 Flash
2024-08-01
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Gemini 2.0 Flash
DeepSeek-V3.2-Exp
Gemini 2.0 Flash
DeepSeek-V3.2-Exp
Gemini 2.0 Flash