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Gemini 2.5 Flash-Lite vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 4.0% higher average benchmark score. Gemini 2.5 Flash-Lite supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemini 2.5 Flash Lite was created as the most efficient option in the Gemini 2.5 family, designed to provide cutting-edge capabilities with minimal computational overhead. Built for applications where cost and latency are primary concerns, it extends advanced multimodal understanding to resource-conscious deployments.
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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.
24 days newer
Gemini 2.5 Flash-Lite
2025-06-17
Kimi K2 Base
Moonshot AI
2025-07-11
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemini 2.5 Flash-Lite
Average Score:37.6%
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Kimi K2 Base
Average Score:41.7%(+4.0%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Flash-Lite
2025-01-01
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 2.5 Flash-Lite
1 providers
Throughput: 5.69 tok/s
Latency: 0.44ms
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Kimi K2 Base
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Gemini 2.5 Flash-Lite
Avg Score:37.6%
Providers:1
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Kimi K2 Base
Avg Score:41.7%(+4.0%)
Providers:0