Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash leads with 46.6% higher average benchmark score. Gemini 1.5 Flash offers 800.8K more tokens in context window than DeepSeek R1 Distill Llama 70B. Both models have similar pricing. Gemini 1.5 Flash supports multimodal inputs. Overall, Gemini 1.5 Flash is the stronger choice for coding tasks.
DeepSeek
DeepSeek R1 Distill Llama 70B is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.0% across 4 benchmarks. It excels particularly in MATH-500 (94.5%), AIME 2024 (86.7%), GPQA (65.2%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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 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.
8 months newer
Gemini 1.5 Flash
2024-05-01
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Cost per million tokens (USD)
DeepSeek R1 Distill Llama 70B
Gemini 1.5 Flash
Context window and performance specifications
Average performance across 25 common benchmarks
DeepSeek R1 Distill Llama 70B
Gemini 1.5 Flash
Gemini 1.5 Flash
2023-11-01
Available providers and their performance metrics
DeepSeek R1 Distill Llama 70B
DeepInfra
Gemini 1.5 Flash
DeepSeek R1 Distill Llama 70B
Gemini 1.5 Flash
DeepSeek R1 Distill Llama 70B
Gemini 1.5 Flash