Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemini 2.5 Flash offers 884.7K more tokens in context window than DeepSeek-V3.2-Exp. DeepSeek-V3.2-Exp is $2.12 cheaper per million tokens. Gemini 2.5 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 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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.
4 months newer
Gemini 2.5 Flash
2025-05-20
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Cost per million tokens (USD)
DeepSeek-V3.2-Exp
Gemini 2.5 Flash
Context window and performance specifications
Average performance across 21 common benchmarks
DeepSeek-V3.2-Exp
Gemini 2.5 Flash
Gemini 2.5 Flash
2025-01-31
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Gemini 2.5 Flash
DeepSeek-V3.2-Exp
Gemini 2.5 Flash
DeepSeek-V3.2-Exp
Gemini 2.5 Flash
ZeroEval