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Gemini 2.0 Flash Thinking vs Kimi-k1.5
Comprehensive side-by-side LLM comparison
Kimi-k1.5 leads with 51.2% higher average benchmark score. Overall, Kimi-k1.5 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-k1.5 is a multimodal language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 81.7% across 9 benchmarks. It excels particularly in MATH-500 (96.2%), CLUEWSC (91.4%), C-Eval (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
1 days newer
Kimi-k1.5
Moonshot AI
2025-01-20
Gemini 2.0 Flash Thinking
2025-01-21
Average performance across 10 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:22.3%
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Kimi-k1.5
Average Score:73.5%(+51.2%)
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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-k1.5
0 providers
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Gemini 2.0 Flash Thinking
Avg Score:22.3%
Providers:0
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Kimi-k1.5
Avg Score:73.5%(+51.2%)
Providers:0