Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash leads with 16.8% higher average benchmark score. Gemini 2.0 Flash offers 800.8K more tokens in context window than Mistral NeMo Instruct. Both models have similar pricing. Gemini 2.0 Flash supports multimodal inputs. Overall, Gemini 2.0 Flash is the stronger choice for coding tasks.
Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). 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.
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.
4 months newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
Gemini 2.0 Flash
2024-12-01
Cost per million tokens (USD)
Gemini 2.0 Flash
Mistral NeMo Instruct
Context window and performance specifications
Average performance across 21 common benchmarks
Gemini 2.0 Flash
Mistral NeMo Instruct
Gemini 2.0 Flash
2024-08-01
Available providers and their performance metrics
Gemini 2.0 Flash
Mistral NeMo Instruct
Gemini 2.0 Flash
Mistral NeMo Instruct
Gemini 2.0 Flash
Mistral NeMo Instruct
Mistral AI