Gemini 3.1 Pro vs Qwen3 235B A22B
Google's frontier model with a large leap in core reasoning.
Qwen's flagship 235B MoE model with 22B active parameters.
No captured outputs for these models yet.
Frequently Asked Questions: Gemini 3.1 Pro vs Qwen3 235B A22B▼
Which is better, Gemini 3.1 Pro or Qwen3 235B A22B?
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Based on the Capability Index, Gemini 3.1 Pro scores higher (86.4 vs 72.3). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
Which is cheaper, Gemini 3.1 Pro or Qwen3 235B A22B?
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Qwen3 235B A22B has a lower blended cost. Gemini 3.1 Pro: $2.00 input / $12.00 output. Qwen3 235B A22B: $0.45 input / $1.82 output.
Which has a larger context window, Gemini 3.1 Pro or Qwen3 235B A22B?
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Gemini 3.1 Pro has a larger context window: Gemini 3.1 Pro supports 1M tokens vs Qwen3 235B A22B at 131K tokens.
Do both Gemini 3.1 Pro and Qwen3 235B A22B support vision?
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Gemini 3.1 Pro supports vision/image input, but Qwen3 235B A22B does not.
What are the key differences between Gemini 3.1 Pro and Qwen3 235B A22B?
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Key differences: Gemini 3.1 Pro has a notably higher capability index (14.1 point gap); Qwen3 235B A22B is significantly cheaper; only Gemini 3.1 Pro supports vision input. 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 Gemini 3.1 Pro and Qwen3 235B A22B for free on idapt.app to see which performs better for your specific needs.