Model Comparison
DeepSeek-V3.2 (Non-thinking) vs Gemini 3 ProWhich is better in 2026?
Comparing DeepSeek-V3.2 (Non-thinking) and Gemini 3 Pro across benchmarks, pricing, and capabilities.
Verdict: DeepSeek-V3.2 (Non-thinking) vs Gemini 3 Pro — which is better?
DeepSeek-V3.2 (Non-thinking) (by DeepSeek) and Gemini 3 Pro (by Google) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
On price, DeepSeek-V3.2 (Non-thinking) is roughly 14.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-V3.2 (Non-thinking) if…
- cost matters — it's about 14.3x cheaper per token
- you want the most recent training data — it shipped Dec 2025
- you need open weights you can self-host or fine-tune
Choose Gemini 3 Pro if…
- you process long inputs — it offers a 1,048,576 token context window
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3.2 (Non-thinking) and Gemini 3 Prodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3.2 (Non-thinking) ($0.28/1M tokens) is 7.1x cheaper than Gemini 3 Pro ($2.00/1M tokens).
For output processing, DeepSeek-V3.2 (Non-thinking) ($0.42/1M tokens) is 28.6x cheaper than Gemini 3 Pro ($12.00/1M tokens).
In conclusion, Gemini 3 Pro is more expensive than DeepSeek-V3.2 (Non-thinking).*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3 Pro accepts 1,048,576 input tokens compared to DeepSeek-V3.2 (Non-thinking)'s 131,072 tokens. Gemini 3 Pro can generate longer responses up to 65,536 tokens, while DeepSeek-V3.2 (Non-thinking) is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Gemini 3 Pro supports multimodal inputs, whereas DeepSeek-V3.2 (Non-thinking) does not.
Gemini 3 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V3.2 (Non-thinking)
Gemini 3 Pro
License
Usage and distribution terms
DeepSeek-V3.2 (Non-thinking) is licensed under MIT, while Gemini 3 Pro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V3.2 (Non-thinking) was released on 2025-12-01, while Gemini 3 Pro was released on 2025-11-18.
DeepSeek-V3.2 (Non-thinking) is 0 month newer than Gemini 3 Pro.
Dec 1, 2025
7 months ago
1w newerNov 18, 2025
8 months ago
Knowledge Cutoff
When training data ends
Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while DeepSeek-V3.2 (Non-thinking)'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 (Non-thinking)'s cutoff date.
—
Jan 2025
Provider Availability
DeepSeek-V3.2 (Non-thinking) is available from DeepSeek. Gemini 3 Pro is available from Google.
DeepSeek-V3.2 (Non-thinking)
Gemini 3 Pro
Outputs Comparison
Key Takeaways
Gemini 3 Pro
View detailsDetailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V3.2 (Non-thinking) and Gemini 3 Pro side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek-V3.2 (Non-thinking) vs Gemini 3 Pro.