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Gemma 3 4B vs Kimi-k1.5
Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 18.9% higher average benchmark score. Overall, Gemma 3 4B is the stronger choice for coding tasks.
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Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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 4B
2025-03-12
Performance Metrics
Context window and performance specifications
Average performance across 34 common benchmarks
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Gemma 3 4B
Average Score:40.5%(+18.9%)
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Kimi-k1.5
Average Score:21.6%
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Knowledge Cutoff
Training data recency comparison
Gemma 3 4B
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 4B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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Kimi-k1.5
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Gemma 3 4B
Avg Score:40.5%(+18.9%)
Providers:1
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Kimi-k1.5
Avg Score:21.6%
Providers:0