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Gemini 1.0 Pro vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 24.4% higher average benchmark score. Overall, Kimi K2 Base is the stronger choice for coding tasks.
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Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, 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.
1 year newer
Gemini 1.0 Pro
2024-02-15
Kimi K2 Base
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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Gemini 1.0 Pro
Average Score:22.9%
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Kimi K2 Base
Average Score:47.3%(+24.4%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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Kimi K2 Base
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Gemini 1.0 Pro
Avg Score:22.9%
Providers:1
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Kimi K2 Base
Avg Score:47.3%(+24.4%)
Providers:0