Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 2.5% higher average benchmark score. Gemini 2.5 Pro is available on 2 providers. Both models have their strengths depending on your specific coding needs.
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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 3.2 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 69.6% across 15 benchmarks. It excels particularly in DocVQA (94.9%), AI2D (92.9%), HumanEval Plus (92.9%). 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 month newer
Gemini 2.5 Pro
2025-05-20
Mistral Small 3.2 24B Instruct
Mistral AI
2025-06-20
Context window and performance specifications
Average performance across 28 common benchmarks
Gemini 2.5 Pro
Mistral Small 3.2 24B Instruct
Mistral Small 3.2 24B Instruct
2023-10-01
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro
ZeroEval
Gemini 2.5 Pro
Mistral Small 3.2 24B Instruct
Gemini 2.5 Pro
Mistral Small 3.2 24B Instruct
Mistral Small 3.2 24B Instruct