Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 56.4% higher average benchmark score. Gemini 1.5 Pro offers 1.8M more tokens in context window than Mistral Small 3.1 24B Base. Mistral Small 3.1 24B Base is $12.10 cheaper per million tokens. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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.
10 months newer
Gemini 1.5 Pro
2024-05-01
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Cost per million tokens (USD)
Gemini 1.5 Pro
Mistral Small 3.1 24B Base
Context window and performance specifications
Average performance across 24 common benchmarks
Gemini 1.5 Pro
Mistral Small 3.1 24B Base
Gemini 1.5 Pro
2023-11-01
Available providers and their performance metrics
Gemini 1.5 Pro
Mistral Small 3.1 24B Base
Gemini 1.5 Pro
Mistral Small 3.1 24B Base
Gemini 1.5 Pro
Mistral Small 3.1 24B Base
Mistral AI