Gemini 3.1 Pro vs DeepSeek-V3.2-Speciale Comparison
Comparing Gemini 3.1 Pro and DeepSeek-V3.2-Speciale across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.1 Pro outperforms in 4 benchmarks (Humanity's Last Exam, SWE-Bench Verified, t2-bench, Terminal-Bench 2.0), while DeepSeek-V3.2-Speciale is better at 0 benchmarks.
Gemini 3.1 Pro significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only DeepSeek-V3.2-Speciale specifies input context (131,072 tokens). Only DeepSeek-V3.2-Speciale specifies output context (131,072 tokens).
Input Capabilities
Supported data types and modalities
Gemini 3.1 Pro supports multimodal inputs, whereas DeepSeek-V3.2-Speciale does not.
Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3.1 Pro
DeepSeek-V3.2-Speciale
License
Usage and distribution terms
Gemini 3.1 Pro is licensed under a proprietary license, while DeepSeek-V3.2-Speciale uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Gemini 3.1 Pro was released on 2026-02-19, while DeepSeek-V3.2-Speciale was released on 2025-12-01.
Gemini 3.1 Pro is 3 months newer than DeepSeek-V3.2-Speciale.
Feb 19, 2026
3 weeks ago
2mo newerDec 1, 2025
3 months ago
Knowledge Cutoff
When training data ends
Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while DeepSeek-V3.2-Speciale's cutoff date is not specified.
We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without DeepSeek-V3.2-Speciale's cutoff date.
Jan 2025
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Outputs Comparison
Key Takeaways
Detailed Comparison
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