Gemma 3 27B vs Kimi K2.7 Code
Google's open multimodal model with 128K context and 140+ language support.
MoonshotAI's coding-focused Kimi model for end-to-end software engineering.
No captured outputs for these models yet.
Frequently Asked Questions: Gemma 3 27B vs Kimi K2.7 Code▼
Which is better, Gemma 3 27B or Kimi K2.7 Code?
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Based on the Capability Index, Kimi K2.7 Code scores higher (81.8 vs 64.6). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
Which is cheaper, Gemma 3 27B or Kimi K2.7 Code?
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Gemma 3 27B has a lower blended cost. Gemma 3 27B: $0.08 input / $0.16 output. Kimi K2.7 Code: $0.74 input / $3.50 output.
Which has a larger context window, Gemma 3 27B or Kimi K2.7 Code?
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Kimi K2.7 Code has a larger context window: Gemma 3 27B supports 131K tokens vs Kimi K2.7 Code at 262K tokens.
Do both Gemma 3 27B and Kimi K2.7 Code support vision?
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Yes, both Gemma 3 27B and Kimi K2.7 Code support vision/image input.
What are the key differences between Gemma 3 27B and Kimi K2.7 Code?
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Key differences: Kimi K2.7 Code has a notably higher capability index (17.2 point gap); Gemma 3 27B is significantly cheaper; only Kimi K2.7 Code offers extended reasoning mode. Compare full specs on this page.
Which model should I choose for my use case?
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If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Gemma 3 27B and Kimi K2.7 Code for free on idapt.app to see which performs better for your specific needs.