Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 5.5% higher average benchmark score. Gemini 1.5 Flash 8B offers 729.1K more tokens in context window than DeepSeek-V3.1. Gemini 1.5 Flash 8B is $0.90 cheaper per million tokens. Gemini 1.5 Flash 8B supports multimodal inputs. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K 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 1.5 Flash 8B is a multimodal language model developed by Google. It achieves strong performance with an average score of 60.5% across 13 benchmarks. It excels particularly in XSTest (92.6%), FLEURS (86.4%), Natural2Code (75.5%). 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 8B
2024-03-15
DeepSeek-V3.1
DeepSeek
2025-01-10
Cost per million tokens (USD)
DeepSeek-V3.1
Gemini 1.5 Flash 8B
Context window and performance specifications
Average performance across 27 common benchmarks
DeepSeek-V3.1
Gemini 1.5 Flash 8B
Gemini 1.5 Flash 8B
2024-10-01
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
Gemini 1.5 Flash 8B
DeepSeek-V3.1
Gemini 1.5 Flash 8B
DeepSeek-V3.1
Gemini 1.5 Flash 8B