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Gemini 2.0 Flash Thinking vs GPT-4o mini
Comprehensive side-by-side LLM comparison
GPT-4o mini leads with 34.8% higher average benchmark score. Overall, GPT-4o 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
GPT-4o mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.5% across 9 benchmarks. It excels particularly in HumanEval (87.2%), MGSM (87.0%), MMLU (82.0%). It supports a 144K 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 2024, it represents OpenAI's latest advancement in AI technology.
6 months newer
GPT-4o mini
OpenAI
2024-07-18
Gemini 2.0 Flash Thinking
2025-01-21
Performance Metrics
Context window and performance specifications
Average performance across 10 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:22.3%
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GPT-4o mini
Average Score:57.1%(+34.8%)
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
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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GPT-4o mini
1 providers
Azure
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Gemini 2.0 Flash Thinking
Avg Score:22.3%
Providers:0
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GPT-4o mini
Avg Score:57.1%(+34.8%)
Providers:1