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Gemini 2.0 Flash Thinking vs GPT-4o mini
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash Thinking leads with 25.0% higher average benchmark score. Overall, Gemini 2.0 Flash Thinking is the stronger choice for coding tasks.
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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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OpenAI
GPT-4o Mini was created as a smaller, more efficient variant of GPT-4o, designed to bring multimodal capabilities to applications requiring faster response times and lower costs. Built to democratize access to advanced vision and text understanding, it enables developers to build sophisticated applications with reduced resource requirements.
6 months newer
GPT-4o mini
OpenAI
2024-07-18
Gemini 2.0 Flash Thinking
2025-01-21
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:74.8%(+25.0%)
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GPT-4o mini
Average Score:49.8%
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
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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GPT-4o mini
1 providers
Azure
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Gemini 2.0 Flash Thinking
Avg Score:74.8%(+25.0%)
Providers:0
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GPT-4o mini
Avg Score:49.8%
Providers:1