Model Comparison

Gemini 3 Pro vs DeepSeek-V3.2-Exp

Gemini 3 Pro significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is 14.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemini 3 Pro outperforms in 4 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, SWE-Bench Verified), while DeepSeek-V3.2-Exp is better at 1 benchmark (SimpleQA).

Gemini 3 Pro significantly outperforms across most benchmarks.

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2-Exp costs less

For input processing, Gemini 3 Pro ($2.00/1M tokens) is 7.4x more expensive than DeepSeek-V3.2-Exp ($0.27/1M tokens).

For output processing, Gemini 3 Pro ($12.00/1M tokens) is 29.3x more expensive than DeepSeek-V3.2-Exp ($0.41/1M tokens).

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

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Google
Gemini 3 Pro
Input tokens$2.00
Output tokens$12.00
Best providerGoogle
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3 Pro accepts 1,048,576 input tokens compared to DeepSeek-V3.2-Exp's 163,840 tokens. Both models can generate responses up to 65,536 tokens.

Google
Gemini 3 Pro
Input1,048,576 tokens
Output65,536 tokens
DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3 Pro supports multimodal inputs, whereas DeepSeek-V3.2-Exp 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-Exp

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 Pro is licensed under a proprietary license, while DeepSeek-V3.2-Exp 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-Exp

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while DeepSeek-V3.2-Exp was released on 2025-09-29.

Gemini 3 Pro is 2 months newer than DeepSeek-V3.2-Exp.

Gemini 3 Pro

Nov 18, 2025

5 months ago

1mo newer
DeepSeek-V3.2-Exp

Sep 29, 2025

6 months ago

Knowledge Cutoff

When training data ends

Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while DeepSeek-V3.2-Exp'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-Exp's cutoff date.

Gemini 3 Pro

Jan 2025

DeepSeek-V3.2-Exp

—

Provider Availability

Gemini 3 Pro is available from Google. DeepSeek-V3.2-Exp is available from Novita.

Gemini 3 Pro

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

DeepSeek-V3.2-Exp

novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $0.41/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher AIME 2025 score (100.0% vs 89.3%)
Higher GPQA score (91.9% vs 79.9%)
Higher Humanity's Last Exam score (45.8% vs 19.8%)
Higher SWE-Bench Verified score (76.2% vs 67.8%)
DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher SimpleQA score (97.1% vs 72.1%)

Detailed Comparison

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

FAQ

Common questions about Gemini 3 Pro vs DeepSeek-V3.2-Exp

Gemini 3 Pro significantly outperforms across most benchmarks. Gemini 3 Pro is made by Google and DeepSeek-V3.2-Exp is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 3 Pro scores AIME 2025: 100.0%, Vending-Bench 2: 100.0%, Global PIQA: 93.4%, GPQA: 91.9%, MMMLU: 91.8%. DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%.
DeepSeek-V3.2-Exp is 7.4x cheaper for input tokens. Gemini 3 Pro costs $2.00/M input and $12.00/M output via google. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita.
Gemini 3 Pro supports 1.0M tokens and DeepSeek-V3.2-Exp supports 164K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (1.0M vs 164K), input pricing ($2.00 vs $0.27/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Gemini 3 Pro is developed by Google and DeepSeek-V3.2-Exp is developed by DeepSeek.