Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash leads with 44.7% higher average benchmark score. Gemini 1.5 Flash offers 729.1K more tokens in context window than DeepSeek-V3 0324. Gemini 1.5 Flash is $0.67 cheaper per million tokens. Gemini 1.5 Flash supports multimodal inputs. Overall, Gemini 1.5 Flash is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). It supports a 328K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
Gemini 1.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). 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 2024, it represents Google's latest advancement in AI technology.
10 months newer
Gemini 1.5 Flash
2024-05-01
DeepSeek-V3 0324
DeepSeek
2025-03-25
Cost per million tokens (USD)
DeepSeek-V3 0324
Gemini 1.5 Flash
Context window and performance specifications
Average performance across 25 common benchmarks
DeepSeek-V3 0324
Gemini 1.5 Flash
Gemini 1.5 Flash
2023-11-01
Available providers and their performance metrics
DeepSeek-V3 0324
Novita
Gemini 1.5 Flash
DeepSeek-V3 0324
Gemini 1.5 Flash
DeepSeek-V3 0324
Gemini 1.5 Flash