Gemini 3 Pro vs DeepSeek-V3.2-Speciale Comparison

Comparing Gemini 3 Pro and DeepSeek-V3.2-Speciale across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemini 3 Pro outperforms in 5 benchmarks (AIME 2025, 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 Pro significantly outperforms across most benchmarks.

Tue Mar 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2-Speciale costs less

For input processing, Gemini 3 Pro ($2.00/1M tokens) is 7.1x more expensive than DeepSeek-V3.2-Speciale ($0.28/1M tokens).

For output processing, Gemini 3 Pro ($12.00/1M tokens) is 28.6x more expensive than DeepSeek-V3.2-Speciale ($0.42/1M tokens).

In conclusion, Gemini 3 Pro is more expensive than DeepSeek-V3.2-Speciale.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Mar 17 2026 • llm-stats.com
Google
Gemini 3 Pro
Input tokens$2.00
Output tokens$12.00
Best providerGoogle
DeepSeek
DeepSeek-V3.2-Speciale
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
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Context Window

Maximum input and output token capacity

Gemini 3 Pro accepts 1,048,576 input tokens compared to DeepSeek-V3.2-Speciale's 131,072 tokens. DeepSeek-V3.2-Speciale can generate longer responses up to 131,072 tokens, while Gemini 3 Pro is limited to 65,536 tokens.

Google
Gemini 3 Pro
Input1,048,576 tokens
Output65,536 tokens
DeepSeek
DeepSeek-V3.2-Speciale
Input131,072 tokens
Output131,072 tokens
Tue Mar 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3 Pro supports multimodal inputs, whereas DeepSeek-V3.2-Speciale does not.

Gemini 3 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3 Pro

Text
Images
Audio
Video

DeepSeek-V3.2-Speciale

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 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.

Gemini 3 Pro

Proprietary

Closed source

DeepSeek-V3.2-Speciale

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while DeepSeek-V3.2-Speciale was released on 2025-12-01.

DeepSeek-V3.2-Speciale is 0 month newer than Gemini 3 Pro.

Gemini 3 Pro

Nov 18, 2025

3 months ago

DeepSeek-V3.2-Speciale

Dec 1, 2025

3 months ago

1w newer

Knowledge Cutoff

When training data ends

Gemini 3 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 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without DeepSeek-V3.2-Speciale's cutoff date.

Gemini 3 Pro

Jan 2025

DeepSeek-V3.2-Speciale

Provider Availability

Gemini 3 Pro is available from Google. DeepSeek-V3.2-Speciale is available from DeepSeek. The availability of providers can affect quality of the model and reliability.

Gemini 3 Pro

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $12.00/1M

DeepSeek-V3.2-Speciale

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher AIME 2025 score (100.0% vs 96.0%)
Higher Humanity's Last Exam score (45.8% vs 30.6%)
Higher SWE-Bench Verified score (76.2% vs 73.1%)
Higher t2-bench score (85.4% vs 80.3%)
Higher Terminal-Bench 2.0 score (54.2% vs 46.4%)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3 Pro
DeepSeek
DeepSeek-V3.2-Speciale