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Gemini 2.5 Flash vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemini 2.5 Flash supports multimodal inputs. Gemini 2.5 Flash is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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 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 month newer
Gemini 2.5 Flash
2025-05-20
Kimi K2 Base
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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Gemini 2.5 Flash
Average Score:35.0%
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Kimi K2 Base
Average Score:36.0%(+1.0%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Flash
2025-01-31
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
2 providers
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Gemini 2.5 Flash
Avg Score:35.0%
Providers:2
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Kimi K2 Base
Avg Score:36.0%(+1.0%)
Providers:0