Model Comparison
DeepSeek-V3.2-Exp vs Gemini 2.5 ProWhich is better in 2026?
DeepSeek-V3.2-Exp shows notably better performance in the majority of benchmarks. DeepSeek-V3.2-Exp is 11.3x cheaper per token.
Verdict: DeepSeek-V3.2-Exp vs Gemini 2.5 Pro — which is better?
DeepSeek-V3.2-Exp (by DeepSeek) and Gemini 2.5 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.
DeepSeek-V3.2-Exp outperforms in 4 benchmarks (AIME 2025, Humanity's Last Exam, SimpleQA, SWE-Bench Verified), while Gemini 2.5 Pro is better at 2 benchmarks (Aider-Polyglot, GPQA). DeepSeek-V3.2-Exp shows notably better performance in the majority of benchmarks.
On price, DeepSeek-V3.2-Exp is roughly 11.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.5 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-Exp if…
- you want the strongest raw capability — it leads on 4 of 6 shared benchmarks
- cost matters — it's about 11.3x cheaper per token
- you want the most recent training data — it shipped Sep 2025
- you need open weights you can self-host or fine-tune
Choose Gemini 2.5 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-Exp outperforms in 4 benchmarks (AIME 2025, Humanity's Last Exam, SimpleQA, SWE-Bench Verified), while Gemini 2.5 Pro is better at 2 benchmarks (Aider-Polyglot, GPQA).
DeepSeek-V3.2-Exp shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3.2-Exp ($0.27/1M tokens) is 4.6x cheaper than Gemini 2.5 Pro ($1.25/1M tokens).
For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 24.4x cheaper than Gemini 2.5 Pro ($10.00/1M tokens).
In conclusion, Gemini 2.5 Pro is more expensive than DeepSeek-V3.2-Exp.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.5 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.
Input Capabilities
Supported data types and modalities
Gemini 2.5 Pro supports multimodal inputs, whereas DeepSeek-V3.2-Exp does not.
Gemini 2.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V3.2-Exp
Gemini 2.5 Pro
License
Usage and distribution terms
DeepSeek-V3.2-Exp is licensed under MIT, while Gemini 2.5 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-Exp was released on 2025-09-29, while Gemini 2.5 Pro was released on 2025-05-20.
DeepSeek-V3.2-Exp is 4 months newer than Gemini 2.5 Pro.
Sep 29, 2025
10 months ago
4mo newerMay 20, 2025
1.2 years ago
Knowledge Cutoff
When training data ends
Gemini 2.5 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 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without DeepSeek-V3.2-Exp's cutoff date.
—
Jan 2025
Provider Availability
DeepSeek-V3.2-Exp is available from Novita. Gemini 2.5 Pro is available from Google.
DeepSeek-V3.2-Exp
Gemini 2.5 Pro
Outputs Comparison
Key Takeaways
DeepSeek-V3.2-Exp
View detailsDeepSeek
DeepSeek-V3.2-ExpGemini 2.5 ProDetailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V3.2-Exp and Gemini 2.5 Pro side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek-V3.2-Exp vs Gemini 2.5 Pro.