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Gemma 3 4B vs Kimi K2 0905
Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 30.1% higher average benchmark score. Kimi K2 0905 offers 262.1K more tokens in context window than Gemma 3 4B. Gemma 3 4B is $3.04 cheaper per million tokens. Gemma 3 4B supports multimodal inputs. Overall, Kimi K2 0905 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 was introduced as the second generation of Moonshot's language model family, designed to provide enhanced capabilities across language understanding and generation. Built with architectural improvements and expanded training, it represents a significant advancement in Moonshot's model offerings.
5 months newer
Gemma 3 4B
2025-03-12
Kimi K2 0905
Moonshot AI
2025-09-05
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Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 4B
Input:$0.02
Output:$0.04($3.04 cheaper)
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Kimi K2 0905
Input:$0.60
Output:$2.50
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Gemma 3 4B
Average Score:55.3%
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Kimi K2 0905
Average Score:85.5%(+30.1%)
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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 0905
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Gemma 3 4B
Avg Score:55.3%
Providers:1
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Kimi K2 0905
Avg Score:85.5%(+30.1%)
Providers:2