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Gemini 2.0 Flash Thinking vs Gemini 2.5 Pro
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 55.7% higher average benchmark score. Gemini 2.5 Pro is available on 2 providers. Overall, Gemini 2.5 Pro 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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Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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.
3 months newer
Gemini 2.0 Flash Thinking
2025-01-21
Gemini 2.5 Pro
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:13.9%
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Gemini 2.5 Pro
Average Score:69.6%(+55.7%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash Thinking
2024-08-01
Gemini 2.5 Pro
2025-01-31
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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Gemini 2.5 Pro
2 providers
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Gemini 2.0 Flash Thinking
Avg Score:13.9%
Providers:0
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Gemini 2.5 Pro
Avg Score:69.6%(+55.7%)
Providers:2