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Gemini 2.0 Flash Thinking vs Kimi K2 0905
Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 40.2% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Kimi K2 0905 is available on 2 providers. Overall, Kimi K2 0905 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 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
7 months newer
Gemini 2.0 Flash Thinking
2025-01-21
Kimi K2 0905
Moonshot AI
2025-09-05
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:31.8%
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Kimi K2 0905
Average Score:72.0%(+40.2%)
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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 K2 0905
2 providers
Novita
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Gemini 2.0 Flash Thinking
Avg Score:31.8%
Providers:0
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Kimi K2 0905
Avg Score:72.0%(+40.2%)
Providers:2