Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash leads with 16.3% higher average benchmark score. Gemini 2.0 Flash offers 992.8K more tokens in context window than Mistral Small 3 24B 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 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.
2 months newer
Gemini 2.0 Flash
2024-12-01
Mistral Small 3 24B Instruct
Mistral AI
2025-01-30
Cost per million tokens (USD)
Gemini 2.0 Flash
Mistral Small 3 24B Instruct
Context window and performance specifications
Average performance across 18 common benchmarks
Gemini 2.0 Flash
Mistral Small 3 24B Instruct
Mistral Small 3 24B Instruct
2023-10-01
Gemini 2.0 Flash
2024-08-01
Available providers and their performance metrics
Gemini 2.0 Flash
Mistral Small 3 24B Instruct
Gemini 2.0 Flash
Mistral Small 3 24B Instruct
Gemini 2.0 Flash
Mistral Small 3 24B Instruct
DeepInfra
Mistral AI