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Gemini 2.0 Flash Thinking vs GPT-4.1
Comprehensive side-by-side LLM comparison
GPT-4.1 leads with 49.3% higher average benchmark score. Overall, GPT-4.1 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-4.1 is a multimodal language model developed by OpenAI. The model shows competitive results across 30 benchmarks. It excels particularly in MMLU (90.2%), CharXiv-D (87.9%), IFEval (87.4%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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
GPT-4.1
OpenAI
2025-04-14
Performance Metrics
Context window and performance specifications
Average performance across 30 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:7.4%
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GPT-4.1
Average Score:56.8%(+49.3%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1
2024-06-01
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-4.1
1 providers
OpenAI
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Gemini 2.0 Flash Thinking
Avg Score:7.4%
Providers:0
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GPT-4.1
Avg Score:56.8%(+49.3%)
Providers:1