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Gemini 2.0 Flash Thinking vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 46.6% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. o3-mini is available on 2 providers. Overall, o3-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
o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.
9 days newer
Gemini 2.0 Flash Thinking
2025-01-21
o3-mini
OpenAI
2025-01-30
Performance Metrics
Context window and performance specifications
Average performance across 27 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:8.3%
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o3-mini
Average Score:54.8%(+46.6%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
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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o3-mini
2 providers
Azure
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Gemini 2.0 Flash Thinking
Avg Score:8.3%
Providers:0
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o3-mini
Avg Score:54.8%(+46.6%)
Providers:2