Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemini 2.0 Flash Thinking
Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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 Small 3 24B Base
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.

Gemini 2.0 Flash Thinking
2025-01-21

Mistral Small 3 24B Base
Mistral AI
2025-01-30
9 days newer
Average performance across 1 common benchmarks

Gemini 2.0 Flash Thinking

Mistral Small 3 24B Base
Performance comparison across key benchmark categories

Gemini 2.0 Flash Thinking

Mistral Small 3 24B Base
Mistral Small 3 24B Base
2023-10-01
Gemini 2.0 Flash Thinking
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash Thinking

Mistral Small 3 24B Base

Gemini 2.0 Flash Thinking

Mistral Small 3 24B Base