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Gemma 3 4B vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 14.3% higher average benchmark score. Gemma 3 4B supports multimodal inputs. Overall, Kimi K2 Base is the stronger choice for coding tasks.
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Gemma 3 4B was developed as a compact yet capable open-source model, designed to strike a balance between performance and resource efficiency. Built with 4 billion parameters and instruction tuning, it provides a practical option for applications requiring moderate capability with manageable computational costs.
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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.
4 months newer
Gemma 3 4B
2025-03-12
Kimi K2 Base
Moonshot AI
2025-07-11
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Gemma 3 4B
Average Score:48.6%
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Kimi K2 Base
Average Score:63.0%(+14.3%)
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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 K2 Base
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Gemma 3 4B
Avg Score:48.6%
Providers:1
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Kimi K2 Base
Avg Score:63.0%(+14.3%)
Providers:0