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Gemini 1.0 Pro vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 24.6% higher average benchmark score. Overall, Kimi K2 Base is the stronger choice for coding tasks.
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Gemini 1.0 Pro was developed as Google's initial production-ready multimodal model, designed to handle text and provide strong performance across diverse tasks. Built to serve as a versatile foundation for applications requiring reliable language understanding and generation, it introduced the Gemini architecture to developers and enterprises.
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Moonshot AI
Kimi K2 Base was created as the foundation model in the K2 series, designed to serve as a starting point for fine-tuning and customization. Built to provide strong base capabilities for domain-specific applications, it enables developers to build specialized solutions on Moonshot's architecture.
1 year newer
Gemini 1.0 Pro
2024-02-15
Kimi K2 Base
Moonshot AI
2025-07-11
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemini 1.0 Pro
Average Score:44.1%
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Kimi K2 Base
Average Score:68.7%(+24.6%)
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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:44.1%
Providers:1
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Kimi K2 Base
Avg Score:68.7%(+24.6%)
Providers:0