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Gemini 1.5 Flash 8B vs Kimi-k1.5
Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash 8B leads with 2.5% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Gemini 1.5 Flash 8B is a multimodal language model developed by Google. It achieves strong performance with an average score of 60.5% across 13 benchmarks. It excels particularly in XSTest (92.6%), FLEURS (86.4%), Natural2Code (75.5%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Google's latest advancement in AI technology.
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Moonshot AI
Kimi-k1.5 is a multimodal language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 81.7% across 9 benchmarks. It excels particularly in MATH-500 (96.2%), CLUEWSC (91.4%), C-Eval (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
10 months newer
Gemini 1.5 Flash 8B
2024-03-15
Kimi-k1.5
Moonshot AI
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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Gemini 1.5 Flash 8B
Average Score:39.3%(+2.5%)
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Kimi-k1.5
Average Score:36.8%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Flash 8B
2024-10-01
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 8B
1 providers
Throughput: 150 tok/s
Latency: 0.3ms
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Kimi-k1.5
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Gemini 1.5 Flash 8B
Avg Score:39.3%(+2.5%)
Providers:1
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Kimi-k1.5
Avg Score:36.8%
Providers:0