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Gemini 1.5 Flash vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 1.2% higher average benchmark score. Gemini 1.5 Flash supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemini 1.5 Flash was created as a fast and efficient multimodal model, designed to provide quick responses while handling text, images, and other modalities. Built for applications requiring low latency and high throughput, it balances capability with speed to serve real-time and high-volume use cases.
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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 1.5 Flash
2024-05-01
Kimi K2 Base
Moonshot AI
2025-07-11
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Gemini 1.5 Flash
Average Score:72.3%
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Kimi K2 Base
Average Score:73.5%(+1.2%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Flash
2023-11-01
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 1.5 Flash
1 providers
Throughput: 150 tok/s
Latency: 0.3ms
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Kimi K2 Base
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Gemini 1.5 Flash
Avg Score:72.3%
Providers:1
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Kimi K2 Base
Avg Score:73.5%(+1.2%)
Providers:0