Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash-Lite leads with 15.1% higher average benchmark score. Gemini 2.5 Flash-Lite offers 858.1K more tokens in context window than DeepSeek R1 Distill Llama 70B. Both models have similar pricing. Gemini 2.5 Flash-Lite supports multimodal inputs. Overall, Gemini 2.5 Flash-Lite 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 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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 2025, it represents Google's latest advancement in AI technology.
4 months newer
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Gemini 2.5 Flash-Lite
2025-06-17
Cost per million tokens (USD)
DeepSeek R1 Distill Llama 70B
Gemini 2.5 Flash-Lite
Context window and performance specifications
Average performance across 15 common benchmarks
DeepSeek R1 Distill Llama 70B
Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite
2025-01-01
Available providers and their performance metrics
DeepSeek R1 Distill Llama 70B
DeepInfra
Gemini 2.5 Flash-Lite
DeepSeek R1 Distill Llama 70B
Gemini 2.5 Flash-Lite
DeepSeek R1 Distill Llama 70B
Gemini 2.5 Flash-Lite