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Gemini 2.0 Flash Thinking vs o1-mini
Comprehensive side-by-side LLM comparison
o1-mini leads with 26.0% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. o1-mini is available on 2 providers. Overall, o1-mini 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-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K 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-mini
OpenAI
2024-09-12
Gemini 2.0 Flash Thinking
2025-01-21
Performance Metrics
Context window and performance specifications
Average performance across 8 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:27.9%
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o1-mini
Average Score:53.9%(+26.0%)
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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-mini
2 providers
Azure
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Gemini 2.0 Flash Thinking
Avg Score:27.9%
Providers:0
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o1-mini
Avg Score:53.9%(+26.0%)
Providers:2