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Gemini 2.0 Flash Thinking vs Magistral Small 2506
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash Thinking leads with 4.3% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemini 2.0 Flash Thinking was developed to incorporate extended reasoning capabilities into the Flash family, designed to combine quick response times with deeper analytical processing. Built to handle tasks requiring both speed and thoughtful problem-solving, it bridges the gap between fast inference and reasoning-enhanced models.
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Mistral AI
Magistral Small was created as an efficient reasoning-focused variant, designed to bring analytical capabilities to applications with tighter resource constraints. Built to balance problem-solving depth with practical deployment needs, it extends reasoning-enhanced AI to broader use cases.
4 months newer
Gemini 2.0 Flash Thinking
2025-01-21
Magistral Small 2506
Mistral AI
2025-06-10
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Average performance across 2 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:73.8%(+4.3%)
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Magistral Small 2506
Average Score:69.4%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash Thinking
2024-08-01
Magistral Small 2506
2025-06-01
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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Magistral Small 2506
0 providers
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Gemini 2.0 Flash Thinking
Avg Score:73.8%(+4.3%)
Providers:0
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Magistral Small 2506
Avg Score:69.4%
Providers:0