Model Comparison
Gemini 3 Pro vs DeepSeek-R1Which is better in 2026?
Comparing Gemini 3 Pro and DeepSeek-R1 across benchmarks, pricing, and capabilities.
Verdict: Gemini 3 Pro vs DeepSeek-R1 — which is better?
Gemini 3 Pro (by Google) and DeepSeek-R1 (by DeepSeek) 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-R1 is roughly 4.7x 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 Gemini 3 Pro if…
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Nov 2025
Choose DeepSeek-R1 if…
- cost matters — it's about 4.7x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3 Pro and DeepSeek-R1 don'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, Gemini 3 Pro ($2.00/1M tokens) is 3.6x more expensive than DeepSeek-R1 ($0.55/1M tokens).
For output processing, Gemini 3 Pro ($12.00/1M tokens) is 5.5x more expensive than DeepSeek-R1 ($2.19/1M tokens).
In conclusion, Gemini 3 Pro is more expensive than DeepSeek-R1.*
* 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-R1's 131,072 tokens. DeepSeek-R1 can generate longer responses up to 131,072 tokens, while Gemini 3 Pro is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Gemini 3 Pro supports multimodal inputs, whereas DeepSeek-R1 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
DeepSeek-R1
License
Usage and distribution terms
Gemini 3 Pro is licensed under a proprietary license, while DeepSeek-R1 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 Pro was released on 2025-11-18, while DeepSeek-R1 was released on 2025-01-20.
Gemini 3 Pro is 10 months newer than DeepSeek-R1.
Nov 18, 2025
6 months ago
10mo newerJan 20, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while DeepSeek-R1'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-R1's cutoff date.
Jan 2025
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Provider Availability
Gemini 3 Pro is available from Google. DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks.
Gemini 3 Pro
DeepSeek-R1
Outputs Comparison
Key Takeaways
Gemini 3 Pro
View detailsDeepSeek-R1
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about Gemini 3 Pro vs DeepSeek-R1.