Model Comparison

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

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

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

Gemini 3 Pro (by Google) and DeepSeek-V3.2-Speciale (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 5 benchmarks (AIME 2025, Humanity's Last Exam, SWE-Bench Verified, t2-bench, Terminal-Bench 2.0), while DeepSeek-V3.2-Speciale is better at 0 benchmarks. Gemini 3 Pro significantly outperforms across most benchmarks.

On price, DeepSeek-V3.2-Speciale 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 5 of 5 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window

Choose DeepSeek-V3.2-Speciale 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
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemini 3 Pro outperforms in 5 benchmarks (AIME 2025, Humanity's Last Exam, SWE-Bench Verified, t2-bench, Terminal-Bench 2.0), while DeepSeek-V3.2-Speciale is better at 0 benchmarks.

Gemini 3 Pro significantly outperforms across most benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2-Speciale costs less

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

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

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

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

Lowest available price from all providers
Sat Jun 13 2026 • llm-stats.com
Google
Gemini 3 Pro
Input tokens$2.00
Output tokens$12.00
Best providerGoogle
DeepSeek
DeepSeek-V3.2-Speciale
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-Speciale's 131,072 tokens. DeepSeek-V3.2-Speciale can generate longer responses up to 131,072 tokens, while Gemini 3 Pro is limited to 65,536 tokens.

Google
Gemini 3 Pro
Input1,048,576 tokens
Output65,536 tokens
DeepSeek
DeepSeek-V3.2-Speciale
Input131,072 tokens
Output131,072 tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3 Pro supports multimodal inputs, whereas DeepSeek-V3.2-Speciale 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-Speciale

Text
Images
Audio
Video

License

Usage and distribution terms

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

MIT

Open weights

Release Timeline

When each model was launched

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

DeepSeek-V3.2-Speciale is 0 month newer than Gemini 3 Pro.

Gemini 3 Pro

Nov 18, 2025

6 months ago

DeepSeek-V3.2-Speciale

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-Speciale'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-Speciale's cutoff date.

Gemini 3 Pro

Jan 2025

DeepSeek-V3.2-Speciale

—

Provider Availability

Gemini 3 Pro is available from Google. DeepSeek-V3.2-Speciale is available from DeepSeek.

Gemini 3 Pro

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

DeepSeek-V3.2-Speciale

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 96.0%)
Higher Humanity's Last Exam score (45.8% vs 30.6%)
Higher SWE-Bench Verified score (76.2% vs 73.1%)
Higher t2-bench score (85.4% vs 80.3%)
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-Speciale

FAQ

Common questions about Gemini 3 Pro vs DeepSeek-V3.2-Speciale.

Which is better, Gemini 3 Pro or DeepSeek-V3.2-Speciale?

Gemini 3 Pro significantly outperforms across most benchmarks. Gemini 3 Pro is made by Google and DeepSeek-V3.2-Speciale 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-Speciale 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-Speciale scores HMMT 2025: 99.2%, AIME 2025: 96.0%, CodeForces: 90.0%, t2-bench: 80.3%, SWE-Bench Verified: 73.1%.

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

DeepSeek-V3.2-Speciale 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-Speciale 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-Speciale?

Gemini 3 Pro supports 1.0M tokens and DeepSeek-V3.2-Speciale 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-Speciale?

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-Speciale?

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

Related comparisons