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Gemini 2.0 Flash Thinking vs o1
Comprehensive side-by-side LLM comparison
o1 leads with 59.9% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. o1 is available on 2 providers. Overall, o1 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 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K 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.
1 month newer
o1
OpenAI
2024-12-17
Gemini 2.0 Flash Thinking
2025-01-21
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:11.7%
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o1
Average Score:71.6%(+59.9%)
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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:11.7%
Providers:0
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o1
Avg Score:71.6%(+59.9%)
Providers:2