Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemini 2.5 Flash-Lite offers 858.1K more tokens in context window than Mistral NeMo Instruct. Both models have similar pricing. Gemini 2.5 Flash-Lite supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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.
Mistral AI
Mistral NeMo Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 64.3% across 8 benchmarks. It excels particularly in HellaSwag (83.5%), Winogrande (76.8%), TriviaQA (73.8%). It supports a 256K 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 2024, it represents Mistral AI's latest advancement in AI technology.
11 months newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
Gemini 2.5 Flash-Lite
2025-06-17
Cost per million tokens (USD)
Gemini 2.5 Flash-Lite
Mistral NeMo Instruct
Context window and performance specifications
Average performance across 21 common benchmarks
Gemini 2.5 Flash-Lite
Mistral NeMo Instruct
Gemini 2.5 Flash-Lite
2025-01-01
Available providers and their performance metrics
Gemini 2.5 Flash-Lite
Mistral NeMo Instruct
Gemini 2.5 Flash-Lite
Mistral NeMo Instruct
Gemini 2.5 Flash-Lite
Mistral NeMo Instruct
Mistral AI