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Gemini 2.0 Flash Thinking vs o1-preview
Comprehensive side-by-side LLM comparison
o1-preview leads with 32.8% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. o1-preview is available on 2 providers. Overall, o1-preview 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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OpenAI
o1-preview is a language model developed by OpenAI. It achieves strong performance with an average score of 64.8% across 8 benchmarks. It excels particularly in MGSM (90.8%), MMLU (90.8%), MATH (85.5%). It supports a 161K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
4 months newer
o1-preview
OpenAI
2024-09-12
Gemini 2.0 Flash Thinking
2025-01-21
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:24.8%
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o1-preview
Average Score:57.6%(+32.8%)
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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-preview
2 providers
Azure
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Gemini 2.0 Flash Thinking
Avg Score:24.8%
Providers:0
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o1-preview
Avg Score:57.6%(+32.8%)
Providers:2