Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Instruct leads with 2.4% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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 2025, it represents Google's latest advancement in AI technology.
Mistral AI
Mistral Small 3.1 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 64.0% across 9 benchmarks. It excels particularly in HumanEval (88.4%), MMLU (80.6%), TriviaQA (80.5%). 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
Mistral Small 3.1 24B Instruct
Mistral AI
2025-03-17
Gemini 2.5 Flash-Lite
2025-06-17
Context window and performance specifications
Average performance across 19 common benchmarks
Gemini 2.5 Flash-Lite
Mistral Small 3.1 24B Instruct
Gemini 2.5 Flash-Lite
2025-01-01
Available providers and their performance metrics
Gemini 2.5 Flash-Lite
Mistral Small 3.1 24B Instruct
Gemini 2.5 Flash-Lite
Mistral Small 3.1 24B Instruct
Gemini 2.5 Flash-Lite
Mistral Small 3.1 24B Instruct