Comprehensive side-by-side LLM comparison
Gemini 1.0 Pro leads with 11.0% higher average benchmark score. Mistral Small 3.1 24B Base offers 215.0K more tokens in context window than Gemini 1.0 Pro. Mistral Small 3.1 24B Base is $1.60 cheaper per million tokens. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, Gemini 1.0 Pro is the stronger choice for coding tasks.
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. 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.
1 year newer
Gemini 1.0 Pro
2024-02-15
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Cost per million tokens (USD)
Gemini 1.0 Pro
Mistral Small 3.1 24B Base
Context window and performance specifications
Average performance across 11 common benchmarks
Gemini 1.0 Pro
Mistral Small 3.1 24B Base
Gemini 1.0 Pro
2024-02-01
Available providers and their performance metrics
Gemini 1.0 Pro
Mistral Small 3.1 24B Base
Gemini 1.0 Pro
Mistral Small 3.1 24B Base
Gemini 1.0 Pro
Mistral Small 3.1 24B Base
Mistral AI