Gemini 3.1 Pro vs MiniMax M2.5
Google's frontier model with a large leap in core reasoning.
MiniMax's most capable model with advanced reasoning and long context.
No captured outputs for these models yet.
Frequently Asked Questions: Gemini 3.1 Pro vs MiniMax M2.5▼
Which is better, Gemini 3.1 Pro or MiniMax M2.5?
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Based on the Capability Index, Gemini 3.1 Pro scores higher (86.4 vs 79.2). 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 MiniMax M2.5?
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MiniMax M2.5 has a lower blended cost. Gemini 3.1 Pro: $2.00 input / $12.00 output. MiniMax M2.5: $0.15 input / $0.90 output.
Which has a larger context window, Gemini 3.1 Pro or MiniMax M2.5?
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Gemini 3.1 Pro has a larger context window: Gemini 3.1 Pro supports 1M tokens vs MiniMax M2.5 at 197K tokens.
Do both Gemini 3.1 Pro and MiniMax M2.5 support vision?
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Gemini 3.1 Pro supports vision/image input, but MiniMax M2.5 does not.
What are the key differences between Gemini 3.1 Pro and MiniMax M2.5?
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Key differences: Gemini 3.1 Pro has a notably higher capability index (7.2 point gap); MiniMax M2.5 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 MiniMax M2.5 for free on idapt.app to see which performs better for your specific needs.