Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 50.7% higher average benchmark score. Gemini 1.5 Pro offers 1.8M more tokens in context window than DeepSeek-V3 0324. DeepSeek-V3 0324 is $11.08 cheaper per million tokens. Gemini 1.5 Pro supports multimodal inputs. Overall, Gemini 1.5 Pro 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 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 Pro
2024-05-01
DeepSeek-V3 0324
DeepSeek
2025-03-25
Cost per million tokens (USD)
DeepSeek-V3 0324
Gemini 1.5 Pro
Context window and performance specifications
Average performance across 26 common benchmarks
DeepSeek-V3 0324
Gemini 1.5 Pro
Gemini 1.5 Pro
2023-11-01
Available providers and their performance metrics
DeepSeek-V3 0324
Novita
Gemini 1.5 Pro
DeepSeek-V3 0324
Gemini 1.5 Pro
DeepSeek-V3 0324
Gemini 1.5 Pro