Model Comparison

Gemini 3 Pro vs DeepSeek-V3.2 (Thinking)Which is better in 2026?

Gemini 3 Pro significantly outperforms across most benchmarks. DeepSeek-V3.2 (Thinking) is 14.3x cheaper per token.

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

Gemini 3 Pro (by Google) and DeepSeek-V3.2 (Thinking) (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 6 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, SWE-Bench Verified, t2-bench, Terminal-Bench 2.0), while DeepSeek-V3.2 (Thinking) is better at 0 benchmarks. Gemini 3 Pro significantly outperforms across most benchmarks.

On price, DeepSeek-V3.2 (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 Gemini 3 Pro if…

  • you want the strongest raw capability — it leads on 6 of 6 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window

Choose DeepSeek-V3.2 (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
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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Gemini 3 Pro outperforms in 6 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, SWE-Bench Verified, t2-bench, Terminal-Bench 2.0), while DeepSeek-V3.2 (Thinking) is better at 0 benchmarks.

Gemini 3 Pro significantly outperforms across most benchmarks.

Mon Jun 08 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2 (Thinking) costs less

For input processing, Gemini 3 Pro ($2.00/1M tokens) is 7.1x more expensive than DeepSeek-V3.2 (Thinking) ($0.28/1M tokens).

For output processing, Gemini 3 Pro ($12.00/1M tokens) is 28.6x more expensive than DeepSeek-V3.2 (Thinking) ($0.42/1M tokens).

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

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

Lowest available price from all providers
Mon Jun 08 2026 • llm-stats.com
Google
Gemini 3 Pro
Input tokens$2.00
Output tokens$12.00
Best providerGoogle
DeepSeek
DeepSeek-V3.2 (Thinking)
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
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 (Thinking)'s 131,072 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 (Thinking)
Input131,072 tokens
Output65,536 tokens
Mon Jun 08 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3 Pro supports multimodal inputs, whereas DeepSeek-V3.2 (Thinking) 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 (Thinking)

Text
Images
Audio
Video

License

Usage and distribution terms

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

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while DeepSeek-V3.2 (Thinking) was released on 2025-12-01.

DeepSeek-V3.2 (Thinking) is 0 month newer than Gemini 3 Pro.

Gemini 3 Pro

Nov 18, 2025

6 months ago

DeepSeek-V3.2 (Thinking)

Dec 1, 2025

6 months ago

1w newer

Knowledge Cutoff

When training data ends

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

Gemini 3 Pro

Jan 2025

DeepSeek-V3.2 (Thinking)

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Provider Availability

Gemini 3 Pro is available from Google. DeepSeek-V3.2 (Thinking) is available from DeepSeek.

Gemini 3 Pro

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

DeepSeek-V3.2 (Thinking)

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M
* 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 93.1%)
Higher GPQA score (91.9% vs 82.4%)
Higher Humanity's Last Exam score (45.8% vs 25.1%)
Higher SWE-Bench Verified score (76.2% vs 73.1%)
Higher t2-bench score (85.4% vs 80.2%)
Higher Terminal-Bench 2.0 score (54.2% vs 46.4%)
DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3 Pro
DeepSeek
DeepSeek-V3.2 (Thinking)

FAQ

Common questions about Gemini 3 Pro vs DeepSeek-V3.2 (Thinking).

Which is better, Gemini 3 Pro or DeepSeek-V3.2 (Thinking)?

Gemini 3 Pro significantly outperforms across most benchmarks. Gemini 3 Pro is made by Google and DeepSeek-V3.2 (Thinking) 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 (Thinking) 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 (Thinking) scores AIME 2025: 93.1%, HMMT 2025: 90.2%, MMLU-Pro: 85.0%, LiveCodeBench: 83.3%, GPQA: 82.4%.

Is Gemini 3 Pro cheaper than DeepSeek-V3.2 (Thinking)?

DeepSeek-V3.2 (Thinking) is 7.1x cheaper for input tokens. Gemini 3 Pro costs $2.00/M input and $12.00/M output via google. DeepSeek-V3.2 (Thinking) costs $0.28/M input and $0.42/M output via deepseek.

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

Gemini 3 Pro supports 1.0M tokens and DeepSeek-V3.2 (Thinking) supports 131K 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 (Thinking)?

Key differences include context window (1.0M vs 131K), input pricing ($2.00 vs $0.28/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 (Thinking)?

Gemini 3 Pro is developed by Google and DeepSeek-V3.2 (Thinking) is developed by DeepSeek.

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