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Gemini 2.0 Flash Thinking vs Mistral Small 3 24B Base
Comprehensive side-by-side LLM comparison
Mistral Small 3 24B Base leads with 34.6% higher average benchmark score. Overall, Mistral Small 3 24B Base is the stronger choice for coding tasks.
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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.
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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.
9 days newer
Gemini 2.0 Flash Thinking
2025-01-21
Mistral Small 3 24B Base
Mistral AI
2025-01-30
Average performance across 11 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:20.3%
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Mistral Small 3 24B Base
Average Score:54.8%(+34.6%)
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Base
2023-10-01
Gemini 2.0 Flash Thinking
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.0 Flash Thinking
0 providers
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Mistral Small 3 24B Base
0 providers
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Gemini 2.0 Flash Thinking
Avg Score:20.3%
Providers:0
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Mistral Small 3 24B Base
Avg Score:54.8%(+34.6%)
Providers:0