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Gemini 2.0 Flash Thinking vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 50.6% higher average benchmark score. Overall, o4-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
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). It supports a 300K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
2 months newer
Gemini 2.0 Flash Thinking
2025-01-21
o4-mini
OpenAI
2025-04-16
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:15.9%
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o4-mini
Average Score:66.5%(+50.6%)
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Knowledge Cutoff
Training data recency comparison
o4-mini
2024-05-31
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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o4-mini
1 providers
OpenAI
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Gemini 2.0 Flash Thinking
Avg Score:15.9%
Providers:0
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o4-mini
Avg Score:66.5%(+50.6%)
Providers:1