Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 40.6% higher average benchmark score. Gemini 1.5 Pro offers 2.0M more tokens in context window than Mistral Small 3 24B Instruct. Mistral Small 3 24B Instruct is $12.29 cheaper per million tokens. Gemini 1.5 Pro supports multimodal inputs. 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 24B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 71.7% across 8 benchmarks. It excels particularly in Arena Hard (87.6%), HumanEval (84.8%), MT-Bench (83.5%). The model is available through 2 API providers. 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.
9 months newer
Gemini 1.5 Pro
2024-05-01
Mistral Small 3 24B Instruct
Mistral AI
2025-01-30
Cost per million tokens (USD)
Gemini 1.5 Pro
Mistral Small 3 24B Instruct
Context window and performance specifications
Average performance across 27 common benchmarks
Gemini 1.5 Pro
Mistral Small 3 24B Instruct
Mistral Small 3 24B Instruct
2023-10-01
Gemini 1.5 Pro
2023-11-01
Available providers and their performance metrics
Gemini 1.5 Pro
Mistral Small 3 24B Instruct
Gemini 1.5 Pro
Mistral Small 3 24B Instruct
Gemini 1.5 Pro
Mistral Small 3 24B Instruct
DeepInfra
Mistral AI