Model Comparison

Gemini 3 Pro vs DeepSeek-V3

Gemini 3 Pro significantly outperforms across most benchmarks. DeepSeek-V3 is 9.4x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 3 Pro outperforms in 3 benchmarks (GPQA, SimpleQA, SWE-Bench Verified), while DeepSeek-V3 is better at 0 benchmarks.

Gemini 3 Pro significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 costs less

For input processing, Gemini 3 Pro ($2.00/1M tokens) is 7.4x more expensive than DeepSeek-V3 ($0.27/1M tokens).

For output processing, Gemini 3 Pro ($12.00/1M tokens) is 10.9x more expensive than DeepSeek-V3 ($1.10/1M tokens).

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

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Google
Gemini 3 Pro
Input tokens$2.00
Output tokens$12.00
Best providerGoogle
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
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's 131,072 tokens. DeepSeek-V3 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
Input131,072 tokens
Output131,072 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3 Pro supports multimodal inputs, whereas DeepSeek-V3 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

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 Pro is licensed under a proprietary license, while DeepSeek-V3 uses MIT + Model License (Commercial use allowed).

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 3 Pro

Proprietary

Closed source

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while DeepSeek-V3 was released on 2024-12-25.

Gemini 3 Pro is 11 months newer than DeepSeek-V3.

Gemini 3 Pro

Nov 18, 2025

4 months ago

10mo newer
DeepSeek-V3

Dec 25, 2024

1.3 years ago

Knowledge Cutoff

When training data ends

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

Gemini 3 Pro

Jan 2025

DeepSeek-V3

—

Provider Availability

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

Gemini 3 Pro

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

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M
* 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 GPQA score (91.9% vs 59.1%)
Higher SimpleQA score (72.1% vs 24.9%)
Higher SWE-Bench Verified score (76.2% vs 42.0%)
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

FAQ

Common questions about Gemini 3 Pro vs DeepSeek-V3

Gemini 3 Pro significantly outperforms across most benchmarks. Gemini 3 Pro is made by Google and DeepSeek-V3 is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
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 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%.
DeepSeek-V3 is 7.4x cheaper for input tokens. Gemini 3 Pro costs $2.00/M input and $12.00/M output via google. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek.
Gemini 3 Pro supports 1.0M tokens and DeepSeek-V3 supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (1.0M vs 131K), input pricing ($2.00 vs $0.27/M), multimodal support (yes vs no), licensing (Proprietary vs MIT + Model License (Commercial use allowed)). See the full comparison above for benchmark-by-benchmark results.
Gemini 3 Pro is developed by Google and DeepSeek-V3 is developed by DeepSeek.