Model Comparison

Gemini 3 Pro vs DeepSeek-V3.2-ExpWhich is better in 2026?

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

Verdict: Gemini 3 Pro vs DeepSeek-V3.2-Exp — which is better?

Gemini 3 Pro (by Google) and DeepSeek-V3.2-Exp (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.

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.

On price, DeepSeek-V3.2-Exp is roughly 14.8x 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 want the strongest raw capability — it leads on 4 of 5 shared benchmarks
  • 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-V3.2-Exp if…

  • cost matters — it's about 14.8x cheaper per token
  • you need open weights you can self-host or fine-tune

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.

Tue Jul 14 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
Tue Jul 14 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
Tue Jul 14 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

7 months ago

1mo newer
DeepSeek-V3.2-Exp

Sep 29, 2025

9 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

Notice missing or incorrect data?Start an Issue discussion→

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

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3 Pro and DeepSeek-V3.2-Exp side-by-side, then vote on the output you prefer.

Gemini 3 Pro
✓ Preferred
DeepSeek-V3.2-Exp
Open in Playground
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.

Which is better, Gemini 3 Pro or 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.

How does Gemini 3 Pro compare to DeepSeek-V3.2-Exp in benchmarks?

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%.

Is Gemini 3 Pro cheaper than DeepSeek-V3.2-Exp?

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.

What are the context window sizes for Gemini 3 Pro and DeepSeek-V3.2-Exp?

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.

What are the main differences between Gemini 3 Pro and DeepSeek-V3.2-Exp?

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.

Who makes Gemini 3 Pro and DeepSeek-V3.2-Exp?

Gemini 3 Pro is developed by Google and DeepSeek-V3.2-Exp is developed by DeepSeek.

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