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Gemini 2.0 Flash Thinking vs o1
Comprehensive side-by-side LLM comparison
o1 leads with 2.3% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. o1 is available on 2 providers. 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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OpenAI
o1 was developed as part of OpenAI's reasoning-focused model series, designed to spend more time thinking before responding. Built to excel at complex reasoning tasks in science, coding, and mathematics, it employs extended internal reasoning processes to solve harder problems than traditional language models through careful step-by-step analysis.
1 month newer
o1
OpenAI
2024-12-17
Gemini 2.0 Flash Thinking
2025-01-21
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:74.3%
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o1
Average Score:76.6%(+2.3%)
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Knowledge Cutoff
Training data recency comparison
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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o1
2 providers
Azure
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Gemini 2.0 Flash Thinking
Avg Score:74.3%
Providers:0
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o1
Avg Score:76.6%(+2.3%)
Providers:2