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Gemma 3 27B vs Kimi-k1.5
Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 28.4% higher average benchmark score. Gemma 3 27B is available on 2 providers. Overall, Gemma 3 27B is the stronger choice for coding tasks.
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Gemma 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). It supports a 262K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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.
1 month newer
Kimi-k1.5
Moonshot AI
2025-01-20
Gemma 3 27B
2025-03-12
Performance Metrics
Context window and performance specifications
Average performance across 34 common benchmarks
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Gemma 3 27B
Average Score:50.0%(+28.4%)
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Kimi-k1.5
Average Score:21.6%
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 27B
2 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
Novita
Throughput: 33 tok/s
Latency: 0.2ms
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Gemma 3 27B
Avg Score:50.0%(+28.4%)
Providers:2
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Kimi-k1.5
Avg Score:21.6%
Providers:0