Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 21.3% higher average benchmark score. Gemini 2.5 Pro is available on 2 providers. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
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 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 67.0% across 9 benchmarks. It excels particularly in ARC-C (91.3%), GSM8k (80.7%), MMLU (80.7%). 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 24B Base
Mistral AI
2025-01-30
Gemini 2.5 Pro
2025-05-20
Context window and performance specifications
Average performance across 24 common benchmarks
Gemini 2.5 Pro
Mistral Small 3 24B Base
Mistral Small 3 24B Base
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 24B Base
Gemini 2.5 Pro
Mistral Small 3 24B Base
Mistral Small 3 24B Base