Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash leads with 36.8% higher average benchmark score. Gemini 2.0 Flash offers 800.8K more tokens in context window than Mistral Small 3.1 24B Base. Both models have similar pricing. 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 Small 3.1 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 62.9% across 5 benchmarks. It excels particularly in MMLU (81.0%), TriviaQA (80.5%), MMMU (59.3%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
3 months newer
Gemini 2.0 Flash
2024-12-01
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Cost per million tokens (USD)
Gemini 2.0 Flash
Mistral Small 3.1 24B Base
Context window and performance specifications
Average performance across 15 common benchmarks
Gemini 2.0 Flash
Mistral Small 3.1 24B Base
Gemini 2.0 Flash
2024-08-01
Available providers and their performance metrics
Gemini 2.0 Flash
Mistral Small 3.1 24B Base
Gemini 2.0 Flash
Mistral Small 3.1 24B Base
Gemini 2.0 Flash
Mistral Small 3.1 24B Base
Mistral AI