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Gemini 2.0 Flash Thinking vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 45.1% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Overall, Kimi K2 Base 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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Moonshot AI
Kimi K2 Base is a language model developed by Moonshot AI. It achieves strong performance with an average score of 69.2% across 13 benchmarks. It excels particularly in C-Eval (92.5%), GSM8k (92.1%), MMLU-redux-2.0 (90.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
5 months newer
Gemini 2.0 Flash Thinking
2025-01-21
Kimi K2 Base
Moonshot AI
2025-07-11
Average performance across 15 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:14.9%
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Kimi K2 Base
Average Score:60.0%(+45.1%)
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Knowledge Cutoff
Training data recency comparison
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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Kimi K2 Base
0 providers
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Gemini 2.0 Flash Thinking
Avg Score:14.9%
Providers:0
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Kimi K2 Base
Avg Score:60.0%(+45.1%)
Providers:0