DeepSeek V4 Pro vs Gemma 3 27B
Open-source 1.6T-parameter MoE with 49B active, built for advanced reasoning and long-horizon agents.
Google's open multimodal model with 128K context and 140+ language support.
No captured outputs for these models yet.
Frequently Asked Questions: DeepSeek V4 Pro vs Gemma 3 27B▼
Which is better, DeepSeek V4 Pro or Gemma 3 27B?
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Based on the Capability Index, DeepSeek V4 Pro scores higher (81.6 vs 64.6). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
Which is cheaper, DeepSeek V4 Pro or Gemma 3 27B?
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Gemma 3 27B has a lower blended cost. DeepSeek V4 Pro: $0.43 input / $0.87 output. Gemma 3 27B: $0.08 input / $0.16 output.
Which has a larger context window, DeepSeek V4 Pro or Gemma 3 27B?
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DeepSeek V4 Pro has a larger context window: DeepSeek V4 Pro supports 1M tokens vs Gemma 3 27B at 131K tokens.
Do both DeepSeek V4 Pro and Gemma 3 27B support vision?
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Gemma 3 27B supports vision/image input, but DeepSeek V4 Pro does not.
What are the key differences between DeepSeek V4 Pro and Gemma 3 27B?
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Key differences: DeepSeek V4 Pro has a notably higher capability index (17.0 point gap); Gemma 3 27B is significantly cheaper; only Gemma 3 27B supports vision input; only DeepSeek V4 Pro 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 DeepSeek V4 Pro and Gemma 3 27B for free on idapt.app to see which performs better for your specific needs.